Paper-Reading-ConvAI

Paper reading list in Conversational AI, mainly encompassing 💬 dialogue systems and 📝 natural language generation. This repository is constantly updating 🤗 ...

Deep Learning in NLP
Dialogue Systems
Natural Language Generation

Deep Learning in NLP

iNLP: "Interactive Natural Language Processing". arXiv(2023) [paper] ⭐⭐⭐⭐
Data Augmentation: "A Survey of Data Augmentation Approaches for NLP". ACL-Findings(2021) [paper]
Prompting: "Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing". arXiv(2021) [paper] ⭐⭐⭐⭐⭐
NLP World Scope: "Experience Grounds Language". EMNLP(2020) [paper] ⭐⭐⭐⭐⭐
Transformer-XL: "Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context". ACL(2019) [paper] [code]
Transformer: "Attention is All you Need". NeurIPS(2017) [paper] [code-official] [code-tf] [code-py] ⭐⭐⭐⭐⭐
VAE: "An Introduction to Variational Autoencoders". arXiv(2019) [paper]
Survey on Attention: "An Introductory Survey on Attention Mechanisms in NLP Problems". arXiv(2018) [paper] ⭐⭐⭐⭐⭐
Additive Attention: "Neural Machine Translation by Jointly Learning to Align and Translate". ICLR(2015) [paper]
Multiplicative Attention: "Effective Approaches to Attention-based Neural Machine Translation". EMNLP(2015) [paper]
Memory Net: "End-To-End Memory Networks". NeurIPS(2015) [paper]
Copy Mechanism (PGN): "Get To The Point: Summarization with Pointer-Generator Networks". ACL(2017) [paper] [code] ⭐⭐⭐⭐⭐
Copy Mechanism: "Incorporating Copying Mechanism in Sequence-to-Sequence Learning". ACL(2016) [paper]
ELMo: "Deep contextualized word representations". NAACL(2018) [paper] [code]
Glove: "GloVe: Global Vectors for Word Representation". EMNLP(2014) [paper] [code]
Word2Vec Tutorial: "word2vec Parameter Learning Explained". arXiv(2016) [paper] ⭐⭐⭐⭐⭐
Multi-task Learning: "An Overview of Multi-Task Learning in Deep Neural Networks". arXiv(2017) [paper]
Gradient Descent: "An Overview of Gradient Descent Optimization Algorithms". arXiv(2016) [paper] ⭐⭐⭐⭐⭐

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Dialogue Systems

Survey on Dialogue

Data Generation: "A Survey on Recent Advances in Conversational Data Generation". arXiv(2024) [paper]
Proactive Dialogue: "A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospects". IJCAI(2023) [paper]
Responsible Dialogue: "Recent Advances towards Safe, Responsible, and Moral Dialogue Systems: A Survey". arXiv(2023) [paper]
Negotiation Dialogue: "Let's Negotiate! A Survey of Negotiation Dialogue Systems". arXiv(2022) [paper]
DL-based Dialogue: "Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Survey". arXiv(2021) [paper] ⭐⭐⭐⭐
Open-domain Dialogue: "Challenges in Building Intelligent Open-domain Dialog Systems". TOIS(2020) [paper]
Dialogue Systems: "A Survey on Dialogue Systems: Recent Advances and New Frontiers". SIGKDD Explorations(2017) [paper]
Dialogue Corpora: "A Survey of Available Corpora For Building Data-Driven Dialogue Systems". arXiv(2017) [paper] [data]

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Conversational LLMs

Parrot: "Parrot: Enhancing Multi-Turn Chat Models by Learning to Ask Questions". arXiv(2023) [paper]
MemoChat: "MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation". arXiv(2023) [paper]
Llama 2-Chat: "Llama 2: Open Foundation and Fine-Tuned Chat Models". Meta(2023) [paper] [code]
ChatGLM3: "ChatGLM3 Series: Open Bilingual Chat LLMs". Tsinghua(2023) [code]
ChatGLM2-6B: "ChatGLM2-6B: An Open Bilingual Chat LLM". Tsinghua(2023) [code]
MPC: "Prompted LLMs as Chatbot Modules for Long Open-domain Conversation". ACL-Findings(2023) [paper] [code]
MemoryBank-SiliconFriend: "MemoryBank: Enhancing Large Language Models with Long-Term Memory". arXiv(2023) [paper] [code]
UltraChat: "Enhancing Chat Language Models by Scaling High-quality Instructional Conversations". arXiv(2023) [paper] [data]
ChatAlpaca: "ChatAlpaca: A Multi-Turn Dialogue Corpus based on Alpaca Instructions". Github(2023) [data]
Phoenix: "Phoenix: Democratizing ChatGPT across Languages". arXiv(2023) [paper] [code]
Dolly: "Free Dolly: Introducing the World's First Truly Open Instruction-Tuned LLM". Databricks(2023) [code]
Baize: "Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data". arXiv(2023) [paper] [code]
Vicuna: "Vicuna: An Open-Source Chatbot Impressing GPT-4 with 90% ChatGPT Quality". LMSYS Org(2023) [Blog] [code]
Koala: "Koala: A Dialogue Model for Academic Research". UC Berkeley(2023) [Blog] [code]
BELLE: "BELLE: Be Everyone's Large Language model Engine". LianjiaTech(2023) [code]
Alpaca: "Alpaca: A Strong, Replicable Instruction-Following Model". Stanford(2023) [Blog] [code] [alpaca-lora]
ChatGLM-6B: "An Open Bilingual Dialogue Language Model". Tsinghua(2023) [code]
Open-Assistant: "Open Assistant: Conversational AI for everyone". Github(2023) [project] [code]
ChatGPT: "ChatGPT: Optimizing Language Models for Dialogue". OpenAI(2022) [Blog] ⭐⭐⭐⭐⭐
Sparrow: "Improving alignment of dialogue agents via targeted human judgements". arXiv(2022) [paper] [data]
BlenderBot3: "BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage". arXiv(2022) [paper]
LaMDA: "LaMDA: Language Models for Dialog Applications". arXiv(2022) [paper]
GODEL: "GODEL: Large-Scale Pre-Training for Goal-Directed Dialog". arXiv(2022) [paper] [code]
Anthropic Assistant-v2: "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback". arXiv(2022) [paper]
Anthropic Assistant: "A General Language Assistant as a Laboratory for Alignment". arXiv(2021) [paper]

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Multimodal Dialogue

Situated and Embodied Dialogue

SLL: "Large Language Model based Situational Dialogues for Second Language Learning". arXiv(2024) [paper]
Emb-Plan: "Multimodal Embodied Plan Prediction Augmented with Synthetic Embodied Dialogue". EMNLP(2023) [paper]
WTaG: "Can Foundation Models Watch, Talk and Guide You Step by Step to Make a Cake?". EMNLP-Findings(2023) [paper] [code]
SIMMC-VR: "SIMMC-VR: A Task-oriented Multimodal Dialog Dataset with Situated and Immersive VR Streams". ACL(2023) [paper] ⭐⭐⭐⭐
SURE: "Multimodal Recommendation Dialog with Subjective Preference: A New Challenge and Benchmark". ACL(2023) [paper] [data]
SUGAR: "A Textual Dataset for Situated Proactive Response Selection". ACL(2023) [paper] [data]
MindDial: "MindDial: Belief Dynamics Tracking with Theory-of-Mind Modeling for Situated Neural Dialogue Generation". arXiv(2023) [paper]
HoloAssist: "HoloAssist: an Egocentric Human Interaction Dataset for Interactive AI Assistants in the Real World". ICCV(2023) [paper] [data] ⭐⭐⭐⭐
Collab: "Towards Collaborative Plan Acquisition through Theory of Mind Modeling in Situated Dialogue". IJCAI(2023) [paper] [code]
Alexa Arena: "Alexa Arena: A User-Centric Interactive Platform for Embodied AI". arXiv(2023) [paper] [code]
SEAGULL: "SEAGULL: An Embodied Agent for Instruction Following through Situated Dialog". Alexa Prize SimBot Challenge(2023) [paper]
SitCoM-DETR: "Which One Are You Referring To? Multimodal Object Identification in Situated Dialogue". EACL-SRW(2023) [paper] [code]
MLR: "Improving Situated Conversational Agents with Step-by-Step Multi-modal Logic Reasoning". DSTC11(2023) [paper]
SimpleMTOD: "SimpleMTOD: A Simple Language Model for Multimodal Task-Oriented Dialogue with Symbolic Scene Representation". arXiv(2023) [paper]
SPRING: "SPRING: Situated Conversation Agent Pretrained with Multimodal Questions from Incremental Layout Graph". AAAI(2023) [paper] [code]
DOROTHIE: "DOROTHIE: Spoken Dialogue for Handling Unexpected Situations in Interactive Autonomous Driving Agents". EMNLP-Findings(2022) [paper] [code] ⭐⭐⭐
LIGHT-curriculum: "Situated Dialogue Learning through Procedural Environment Generation". ACL(2022) [paper]
DANLI: "DANLI: Deliberative Agent for Following Natural Language Instructions". EMNLP(2022) [paper] [code]
PRS: "Learning to Mediate Disparities Towards Pragmatic Communication". ACL(2022) [paper] [code]
Joint-model: "Learning to Embed Multi-Modal Contexts for Situated Conversational Agents". NAACL-Findings(2022) [paper] [code]
TEACh_FILM: "Don't Copy the Teacher: Data and Model Challenges in Embodied Dialogue". EMNLP(2022) [paper] [code]
TEACh: "TEACh: Task-driven Embodied Agents that Chat". AAAI(2022) [paper] [data]
MindCraft: "MindCraft: Theory of Mind Modeling for Situated Dialogue in Collaborative Tasks". EMNLP(2021) [paper] [code] ⭐⭐⭐
Multimodal-model: "Multimodal Interactions Using Pretrained Unimodal Models for SIMMC 2.0". DSTC10(2022) [paper] [code]
SIMMC 2.0: "SIMMC 2.0: A Task-oriented Dialog Dataset for Immersive Multimodal Conversations" EMNLP(2021) [paper] [code] ⭐⭐⭐⭐
MM-DST: "Multi-Task Learning for Situated Multi-Domain End-to-End Dialogue Systems". arXiv(2021) [paper]
SIMMC: "Situated and Interactive Multimodal Conversations". COLING(2020) [paper] [code]
Minecraft-BAP: "Learning to execute instructions in a Minecraft dialogue". ACL(2020) [paper] [code]
CerealBar: "Executing Instructions in Situated Collaborative Interactions". EMNLP(2019) [paper] [code]
Minecraft Dialogue: "Collaborative Dialogue in Minecraft". ACL(2019) [paper] [code]
CLG: "Collaborative Language Grounding Toward Situated Human‐Robot Dialogue". AI Magazine(2016) [paper] ⭐⭐⭐⭐
SHRD: "Back to the Blocks World: Learning New Actions through Situated Human-Robot Dialogue". SIGDIAL(2014) [paper]

Visually-grounded Dialogue

TIGER: "TIGER: A Unified Generative Model Framework for Multimodal Dialogue Response Generation". COLING(2024). [paper] [code]
DialogCC: "DialogCC: An Automated Pipeline for Creating High-Quality Multi-Modal Dialogue Dataset". NAACL(2024) [paper] [data]
VLAW-MDM: "A Framework for Vision-Language Warm-up Tasks in Multimodal Dialogue Models". EMNLP(2023) [paper] [code]
ZRIGF: "ZRIGF: An Innovative Multimodal Framework for Zero-Resource Image-Grounded Dialogue Generation". ACM MM(2023) [paper] [code]
VDialogUE: "VDialogUE: A Unified Evaluation Benchmark for Visually-grounded Dialogue". arXiv(2023) [paper]
TextBind: "TextBind: Multi-turn Interleaved Multimodal Instruction-following in the Wild". arXiv(2023) [paper] [data]
VSTAR: "VSTAR: A Video-grounded Dialogue Dataset for Situated Semantic Understanding with Scene and Topic Transitions". ACL(2023) [paper] [data]
ComSet: "Multimodal Persona Based Generation of Comic Dialogs". ACL(2023) [paper] [code]
MPCHAT: "MPCHAT: Towards Multimodal Persona-Grounded Conversation". ACL(2023) [paper] [code]
PaCE: "PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional Experts". ACL(2023) [paper] [code]
MMDialog: "MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation". ACL(2023) [paper] [data] ⭐⭐⭐
MDS-S2: "Dual Semantic Knowledge Composed Multimodal Dialog Systems". SIGIR(2023) [paper]
TikTalk: "TikTalk: A Multi-Modal Dialogue Dataset for Real-World Chitchat". arXiv(2023) [paper] [code]
CHAMPAGNE: "CHAMPAGNE: Learning Real-world Conversation from Large-Scale Web Videos". arXiv(2023) [paper] [code]
MMChat: "MMChat: Multi-Modal Chat Dataset on Social Media". LREC(2022) [paper] [code]
CRVD: "Collaborative Reasoning on Multi-Modal Semantic Graphs for Video-Grounded Dialogue Generation". EMNLP-Findings(2022) [paper]
M3ED: "M3ED: Multi-modal Multi-scene Multi-label Emotional Dialogue Database". ACL(2022) [paper] [data]
MDRG: "Multimodal Dialogue Response Generation". ACL(2022) [paper]
UniTranSeR: "UniTranSeR: A Unified Transformer Semantic Representation Framework for Multimodal Task-Oriented Dialog System". ACL(2022) [paper]
PhotoChat: "PhotoChat: A Human-Human Dialogue Dataset With Photo Sharing Behavior For Joint Image-Text Modeling". ACL(2021) [paper] [data]
Multi-Modal Dialogue: "Constructing Multi-Modal Dialogue Dataset by Replacing Text with Semantically Relevant Images". ACL(2021) [paper] [code]
OpenViDial 2.0: "OpenViDial 2.0: A Larger-Scale, Open-Domain Dialogue Generation Dataset with Visual Contexts". arXiv(2021) [paper] [data]
TREASURE: "Multimodal Dialog System: Relational Graph-based Context-aware Question Understanding". ACM MM(2021) [paper] [code]
MMConv: "MMConv: An Environment for Multimodal Conversational Search across Multiple Domains". SIGIR(2021) [paper] [data]
Image Chat: "Image Chat: Engaging Grounded Conversations". ACL(2020) [paper] [data]
MTN: "Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems". ACL(2019) [paper] [code] ⭐⭐⭐
MELD: "MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations". ACL(2019) [paper] [data]
CLEVR-Dialog: "CLEVR-Dialog: A Diagnostic Dataset for Multi-Round Reasoning in Visual Dialog". NAACL(2019) [paper] [data]
VisDial-RL: "Improving Generative Visual Dialog by Answering Diverse Questions". EMNLP(2019) [paper] [code]
MAGIC: "Multimodal Dialog System: Generating Responses via Adaptive Decoders". ACM MM(2019) [paper] [code]
KMD: "Knowledge-aware Multimodal Dialogue Systems". ACM MM(2018) [paper]
MMD: "Towards Building Large Scale Multimodal Domain-Aware Conversation Systems". AAAI(2018) [paper] [data]
Talk the Walk: "Talk the Walk: Navigating New York City through Grounded Dialogue". arXiv(2018) [paper] [code]
IGC: "Image-Grounded Conversations: Multimodal Context for Natural Question and Response Generation". IJCNLP(2017) [paper] [data]
VisDial: "Visual Dialog". CVPR(2017) [paper] [data]

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Proactive Dialogue

Misc. of Proactive Dialogue

DPDP: "Planning Like Human: A Dual-process Framework for Dialogue Planning". ACL(2024) [paper] [code]
PCA: "Towards Human-centered Proactive Conversational Agents". SIGIR(2024) [paper]
ProCoT: "Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration". EMNLP-Findings(2023) [paper] [code]
Tutorial: "Goal Awareness for Conversational AI: Proactivity, Non-collaborativity, and Beyond". ACL(2023) [paper]

Target-oriented Dialogue

PAI: "Towards Goal-oriented Intelligent Tutoring Systems in Online Education". arXiv(2023) [paper]
TopDial: "Target-oriented Proactive Dialogue Systems with Personalization: Problem Formulation and Dataset Curation". EMNLP(2023) [paper] [code]
RTCP: "Reinforced Target-driven Conversational Promotion". EMNLP(2023) [paper] [code]
MTGP: "MTGP: Multi-turn Target-oriented Dialogue Guided by Generative Global Path with Flexible Turns". ACL-Findings(2023) [paper] [code]
COLOR: "Dialogue Planning via Brownian Bridge Stochastic Process for Goal-directed Proactive Dialogue". ACL-Findings(2023) [paper] [code] ⭐⭐⭐
TopKG: "TopKG: Target-oriented Dialog via Global Planning on Knowledge Graph". COLING(2022) [paper] [code]
TGCP: "Target-Guided Open-Domain Conversation Planning". COLING(2022) [paper] [code]
FOP: "Long-term Control for Dialogue Generation: Methods and Evaluation". NAACL(2022) [paper] [code]
CODA: "Target-Guided Dialogue Response Generation Using Commonsense and Data Augmentation". NAACL-Findings(2022) [paper] [code]
OTTers: "OTTers: One-turn Topic Transitions for Open-Domain Dialogue". ACL(2021) [paper] [data]
CG-nAR: "Thinking Clearly, Talking Fast: Concept-Guided Non-Autoregressive Generation for Open-Domain Dialogue Systems". EMNLP(2021) [paper] [code] ⭐⭐⭐
DuConv: "Proactive Human-Machine Conversation with Explicit Conversation Goals". ACL(2019) [paper] [code]
CKC: "Keyword-Guided Neural Conversational Model". AAAI(2021) [paper] [code]
KnowHRL: "Knowledge Graph Grounded Goal Planning for Open-Domain Conversation Generation". AAAI(2020) [paper]
DKRN: "Dynamic Knowledge Routing Network For Target-Guided Open-Domain Conversation". AAAI(2020) [paper] [code]
TGConv: "Target-Guided Open-Domain Conversation". ACL(2019) [paper] [code]

Non-collaborative Dialogue (Persuasion and Negotiation)

TRIP: "Strength Lies in Differences! Towards Effective Non-collaborative Dialogues via Tailored Strategy Planning". arXiv(2024) [paper]
INA: "INA: An Integrative Approach for Enhancing Negotiation Strategies with Reward-Based Dialogue System". EMNLP(2023) [paper] [data]
I-Pro: "Interacting with Non-Cooperative User: A New Paradigm for Proactive Dialogue Policy". SIGIR(2022) [paper]
PAAD: "Towards a Progression-Aware Autonomous Dialogue Agent". NAACL(2022) [paper] [code] ⭐⭐⭐
PersRFI: "Refine and Imitate: Reducing Repetition and Inconsistency in Persuasion Dialogues via Reinforcement Learning and Human Demonstration". EMNLP-Findings(2021) [paper] [code]
ResPer: "RESPER: Computationally Modelling Resisting Strategies in Persuasive Conversations". EACL(2021) [paper] [code]
ARDM: "Alternating Recurrent Dialog Model with Large-scale Pre-trained Language Models". EACL(2021) [paper] [code]
DialoGraph: "DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues". ICLR(2021) [paper] [code] ⭐⭐⭐
NegotiationToM: "Improving Dialog Systems for Negotiation with Personality Modeling". ACL(2021) [paper] [code]
FeHED: "Augmenting Non-Collaborative Dialog Systems with Explicit Semantic and Strategic Dialog History". ICLR(2020) [paper] [code]
CTX-PSA: "Learning to Plan and Realize Separately for Open-Ended Dialogue Systems". EMNLP-Findings(2020) [paper] [code]
Negotiation-Coach: "A Dynamic Strategy Coach for Effective Negotiation". SIGDIAL(2019) [paper] [code]
PersuasionForGood: "Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Good". ACL(2019) [paper] [data]
CraigslistBargain: "Decoupling Strategy and Generation in Negotiation Dialogues". EMNLP(2018) [paper] [data]

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Personalized Dialogue

Character-based Dialogue

LLM-Werewolf: "Exploring Large Language Models for Communication Games: An Empirical Study on Werewolf". arXiv(2023) [paper]
ChatHaruhi: "ChatHaruhi: Reviving Anime Character in Reality via Large Language Model". arXiv(2023) [report] [code]
DPCD: "Hi Sheldon! Creating Deep Personalized Characters from TV Shows". arXiv(2023) [paper] [data]
Cornell-Rich: "Personalised Language Modelling of Screen Characters Using Rich Metadata Annotations". arXiv(2023) [paper] [data]
KNUDGE: "Ontologically Faithful Generation of Non-Player Character Dialogues". arXic(2022) [paper]
HPD: "Large Language Models Meet Harry Potter: A Bilingual Dataset for Aligning Dialogue Agents with Characters". arXiv(2022) [paper] [data]
DialStory: "A Benchmark for Understanding and Generating Dialogue between Characters in Stories". arXiv(2022) [paper]
CareCall: "Building a Role Specified Open-Domain Dialogue System Leveraging Large-Scale Language Models". NAACL(2022) [paper] [data]
PDP: "Meet Your Favorite Character: Open-domain Chatbot Mimicking Fictional Characters with only a Few Utterances". NAACL(2022) [paper] [code]
RPA: "Am I Me or You? State-of-the-Art Dialogue Models Cannot Maintain an Identity". NAACL-Findings(2022) [paper]
CharacterChat: "CharacterChat: Supporting the Creation of Fictional Characters through Conversation and Progressive Manifestation with a Chatbot". ACM C&C(2021）[paper]
ALOHA: "ALOHA: Artificial Learning of Human Attributes for Dialogue Agents". AAAI(2020) [paper] [code]
LIGHT: "Learning to Speak and Act in a Fantasy Text Adventure Game". EMNLP(2019) [paper] [data] ⭐⭐⭐

Personality-aware Dialogue

UBPL: "Tailoring Personality Traits in Large Language Models via Unsupervisedly-Built Personalized Lexicons". arXiv(2023) [paper]
CharacterChat: "CharacterChat: Learning towards Conversational AI with Personalized Social Support". arXiv(2023) [paper] [code]
ChatGPT-MBTI: "Can ChatGPT Assess Human Personalities? A General Evaluation Framework". arXiv(2023) [paper] [code]
Prompted Personality: "Controlling Personality Style in Dialogue with Zero-Shot Prompt-Based Learning". IWSDS(2023) [paper]
CPED: "CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AI". arXiv(2022) [paper] [data] ⭐⭐⭐
PELD: "Automatically Select Emotion for Response via Personality-affected Emotion Transition". ACL-Findings(2021) [paper] [data]
FriendsPersona: "Automatic Text-based Personality Recognition on Monologues and Multiparty Dialogues Using Attentive Networks and Contextual Embeddings". AAAI-Student Abstract(2020) [paper] [data]
APR: "Identifying Personality Traits Using Overlap Dynamics in Multiparty Dialogue". INTERSPEECH(2019) [paper]
PersonalDilaog: "Personalized Dialogue Generation with Diversified Traits". arXiv(2019) [paper] [data]
PersonageNLG: "Controlling Personality-Based Stylistic Variation with Neural Natural Language Generators". SIGDIAL(2018) [paper] [data]

Persona-based Dialogue

ComperDial: "ComperDial: Commonsense Persona-grounded Dialogue Dataset and Benchmark". arXiv(2024) [paper]
IDL: ""In Dialogues We Learn": Towards Personalized Dialogue Without Pre-defined Profiles through In-Dialogue Learning". arXiv(2024) [paper]
DialogICL: "Crafting a Good Prompt or Providing Exemplary Dialogues? A Study of In-Context Learning for Persona-based Dialogue Generation". arXiv(2024) [paper]
VaRMI: "Building Persona Consistent Dialogue Agents with Offline Reinforcement Learning". EMNLP(2023) [paper] [code]
OPELA: "When Crowd Meets Persona: Creating a Large-Scale Open-Domain Persona Dialogue Corpus". arXiv(2023) [paper] [data]
ORIG: "Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization". ACL-Findings(2023) [paper] [code]
CLV: "Enhancing Personalized Dialogue Generation with Contrastive Latent Variables: Combining Sparse and Dense Persona". ACL(2023) [paper] [code]
SimOAP: "SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation". ACL(2023) [paper] [code]
LMEDR: "Learning to Memorize Entailment and Discourse Relations for Persona-Consistent Dialogues". AAAI(2023) [paper] [code]
Retrieval-to-Prediction: "Improving Personality Consistency in Conversation by Persona Extending". CIKM(2022) [paper] [code]
Implicit-Persona: "A Personalized Dialogue Generator with Implicit User Persona Detection". COLING(2022) [paper]
CareCallMemory: "Keep Me Updated! Memory Management in Long-term Conversations". EMNLP-Findings(2022) [paper] [data]
PersonaDefense: "You Don't Know My Favorite Color: Preventing Dialogue Representations from Revealing Speakers' Private Personas". NAACL(2022) [paper] [code]
Prompt-Tuning: "Building a Personalized Dialogue System with Prompt-Tuning". NAACL-SRW(2022) [paper]
DuLeMon: "Long Time No See! Open-Domain Conversation with Long-Term Persona Memory". ACL-Findings(2022) [paper] [data] ⭐⭐⭐
INFO: "You Truly Understand What I Need: Intellectual and Friendly Dialogue Agents grounding Knowledge and Persona". EMNLP-Findings(2022) [paper] [code]
FoCus: "Call for Customized Conversation: Customized Conversation Grounding Persona and Knowledge". AAAI(2022) [paper] [code] ⭐⭐⭐
MSP: "Less is More: Learning to Refine Dialogue History for Personalized Dialogue Generation". NAACL(2022) [paper]
GME: "Transferable Persona-Grounded Dialogues via Grounded Minimal Edits". EMNLP(2021) [paper] [code]
BoB: "BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data". ACL(2021) [paper] [code]
PABST: "Unsupervised Enrichment of Persona-grounded Dialog with Background Stories". ACL(2021) [paper] [code]
DHAP: "One Chatbot Per Person: Creating Personalized Chatbots based on Implicit User Profiles". SIGIR(2021) [paper]
Pchatbot: "Pchatbot: A Large-Scale Dataset for Personalized Chatbot". SIGIR(2021) [paper] [data] ⭐⭐⭐
COMPAC: "Like hiking? You probably enjoy nature: Persona-grounded Dialog with Commonsense Expansions". EMNLP(2020) [paper] [code]
pragmatic-consistency: "Will I Sound Like Me? Improving Persona Consistency in Dialogues through Pragmatic Self-Consciousness". EMNLP(2020) [paper] [code] ⭐⭐⭐⭐
XPersona: "XPersona: Evaluating Multilingual Personalized Chatbot". arXiv(2020) [paper] [data]
KvPI: "Profile Consistency Identification for Open-domain Dialogue Agents". EMNLP(2020) [paper] [code]
GDR: "Generate, Delete and Rewrite: A Three-Stage Framework for Improving Persona Consistency of Dialogue Generation". ACL(2020) [paper]
P^2Bot: "You Impress Me: Dialogue Generation via Mutual Persona Perception". ACL(2020) [paper] [code]
RCDG: "Generating Persona Consistent Dialogues by Exploiting Natural Language Inference". AAAI(2020) [paper] [code]
Persona-sparse: "A Pre-training Based Personalized Dialogue Generation Model with Persona-sparse Data". AAAI(2020) [paper]
PersonaWAE: "Modeling Personalization in Continuous Space for Response Generation via Augmented Wasserstein Autoencoders". EMNLP(2019) [paper]
PAML: "Personalizing Dialogue Agents via Meta-Learning". ACL(2019) [paper] [code]
PersonaChat: "Personalizing Dialogue Agents: I have a dog, do you have pets too?" ACL(2018) [paper] [data] ⭐⭐⭐
PCCM: "Assigning Personality/Profile to a Chatting Machine for Coherent Conversation Generation". IJCAI(2018) [paper]

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Emotional Dialogue

Emotional Support Dialogue

Preference Bias: "Can Large Language Models be Good Emotional Supporter? Mitigating Preference Bias on Emotional Support Conversation". ACL(2024) [paper]
ESCoT: "ESCoT: Towards Interpretable Emotional Support Dialogue Systems". ACL(2024) [paper] [code]
Muffin: "Muffin: Mitigating Unhelpfulness in Emotional Support Conversations with Multifaceted AI Feedback". ACL-Findings(2024) [paper] [code]
DDRCU: "Dynamic Demonstration Retrieval and Cognitive Understanding for Emotional Support Conversation". SIGIR(2024) [paper] [code]
KEMI: "Knowledge-enhanced Mixed-initiative Dialogue System for Emotional Support Conversations". ACL(2023) [paper] [code] ⭐⭐⭐⭐
CSConv: "A Cognitive Stimulation Dialogue System with Multi-source Knowledge Fusion for Elders with Cognitive Impairment". ACL(2023) [paper] [code]
AugESC: "AugESC: Dialogue Augmentation with Large Language Models for Emotional Support Conversation". ACL-Findings(2023) [paper]
TransESC: "TransESC: Smoothing Emotional Support Conversation via Turn-Level State Transition". ACL-Findings(2023) [paper] [code]
PAL: "PAL: Persona-Augmented Emotional Support Conversation Generation". ACL-Findings(2023) [paper] [code]
MultiESC: "Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning". EMNLP(2022) [paper] [code] ⭐⭐⭐⭐
MISC: "MISC: A MIxed Strategy-Aware Model Integrating COMET for Emotional Support Conversation". ACL(2022) [paper] [code]
C3KG: "C3KG: A Chinese Commonsense Conversation Knowledge Graph". ACL-Findings(2022) [paper] [data]
GLHG: "Control Globally, Understand Locally: A Global-to-Local Hierarchical Graph Network for Emotional Support Conversation". IJCAI(2022) [paper]
ESConv: "Towards Emotional Support Dialog Systems". ACL(2021) [paper] [data] ⭐⭐⭐⭐

Empathetic Dialogue

STICKERCONV: "STICKERCONV: Generating Multimodal Empathetic Responses from Scratch". ACL(2024) [paper] [data]
PerceptiveAgent: "Talk With Human-like Agents: Empathetic Dialogue Through Perceptible Acoustic Reception and Reaction". ACL(2024) [paper] [code]
E-CORE: "E-CORE: Emotion Correlation Enhanced Empathetic Dialogue Generation" EMNLP(2023) [paper]
EmpSOA: "Don't Lose Yourself! Empathetic Response Generation via Explicit Self-Other Awareness". ACL-Findings(2023) [paper] [code]
CASE: "CASE: Aligning Coarse-to-Fine Cognition and Affection for Empathetic Response Generation". ACL(2023) [paper] [code]
CARE: "CARE: Causality Reasoning for Empathetic Responses by Conditional Graph Generation". EMNLP-Findings(2022) [paper] [code]
EmpGPT-3: "Does GPT-3 Generate Empathetic Dialogues? A Novel In-Context Example Selection Method and Automatic Evaluation Metric for Empathetic Dialogue Generation". COLING(2022) [paper] [code]
PosEmoDial: "Towards Multi-Turn Empathetic Dialogs with Positive Emotion Elicitation". arXiV(2022) [paper]
CEM: "CEM: Commonsense-aware Empathetic Response Generation". AAAI(2022) [paper] [code]
GEE: "Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes". EMNLP(2021) [paper] [code]
RecEC: "Improving Empathetic Response Generation by Recognizing Emotion Cause in Conversations". EMNLP-Findings(2021) [paper] [code]
CoMAE: "CoMAE: A Multi-factor Hierarchical Framework for Empathetic Response Generation". ACL-Findings(2021) [paper] [code]
CARE: "CARE: Commonsense-Aware Emotional Response Generation with Latent Concepts". AAAI(2021) [paper] [code]
EmpDG: "EmpDG: Multi-resolution Interactive Empathetic Dialogue Generation". COLING(2020) [paper] [code]
MIME: "MIME: MIMicking Emotions for Empathetic Response Generation". EMNLP(2020) [paper] [code]
PEC: "Towards Persona-Based Empathetic Conversational Models". EMNLP(2020) [paper] [code]
MoEL: "MoEL: Mixture of Empathetic Listeners". EMNLP(2019) [paper] [code]
EmpatheticDialogues: "Towards Empathetic Open-domain Conversation Models: A New Benchmark and Dataset". ACL(2019) [paper] [data] ⭐⭐⭐
EmoDS: "Generating Responses with a Specific Emotion in Dialog". ACL(2019) [paper]
MojiTalk: "MojiTalk: Generating Emotional Responses at Scale". ACL(2018) [paper]
ECM: "Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory". AAAI(2018) [paper] [code]

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Recommendation Dialogue and CRS

TCP-Dial: "Follow Me: Conversation Planning for Target-driven Recommendation Dialogue Systems". arXiv(2022) [paper] [code]
KERS: "KERS: A Knowledge-Enhanced Framework for Recommendation Dialog Systems with Multiple Subgoals". EMNLP-Findings(2021) [paper] [code]
DuRecDial2.0: "DuRecDial 2.0: A Bilingual Parallel Corpus for Conversational Recommendation". EMNLP(2021) [paper] [code]
DuRecDial: "Towards Conversational Recommendation over Multi-Type Dialogs". ACL(2020) [paper] [code] ⭐⭐⭐⭐
TG-ReDial: "Towards Topic-Guided Conversational Recommender System". COLING(2020) [paper] [code]
INSPIRED: "INSPIRED: Toward Sociable Recommendation Dialog Systems". EMNLP(2020) [paper] [data]
GoRecDial: "Recommendation as a Communication Game: Self-Supervised Bot-Play for Goal-oriented Dialogue". EMNLP(2019) [paper] [code]
CRS-Survey: "A Survey on Conversational Recommender Systems". ACM Computing Surveys(2021) [paper]
CRS-Survey: "Advances and Challenges in Conversational Recommender Systems: A Survey ". arXiv(2021) [paper]
CRSLab: "CRSLab: An Open-Source Toolkit for Building Conversational Recommender System". arXiv(2021) [paper] [code] ⭐⭐⭐
MESE: "Improving Conversational Recommendation Systems' Quality with Context-Aware Item Meta Information". NAACL(2022) [paper] [code]
C2-CRS: "C2-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System". WSDM(2022) [paper] [code]
BotPlay: "Self-Supervised Bot Play for Conversational Recommendation with Justifications". arXiv(2021) [paper]
RID: "Finetuning Large-Scale Pre-trained Language Models for Conversational Recommendation with Knowledge Graph". arXiv(2021) [paper] [code]
CRFR: "CRFR: Improving Conversational Recommender Systems via Flexible Fragments Reasoning on Knowledge Graphs". EMNLP(2021) [paper]
NTRD: "Learning Neural Templates for Recommender Dialogue System". EMNLP(2021) [paper] [code]
CR-Walker: "CR-Walker: Tree-Structured Graph Reasoning and Dialog Acts for Conversational Recommendation". EMNLP(2021) [paper] [code] ⭐⭐⭐⭐
RevCore: "RevCore: Review-augmented Conversational Recommendation". ACL-Findings(2021) [paper] [code]
KECRS: "KECRS: Towards Knowledge-Enriched Conversational Recommendation System". arXiv(2021) [paper]
FPAN: "Adapting User Preference to Online Feedback in Multi-round Conversational Recommendation". WSDM(2021) [paper] [code]
UNICORN: "Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning". SIGIR(2021) [paper] [code]
KGSF: "Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion". KDD(2020) [paper] [code]
CPR: "Interactive Path Reasoning on Graph for Conversational Recommendation". KDD(2020) [paper] [code]
EAR: "Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems". WSDM(2020) [paper] [code]
KBRD: "Towards Knowledge-Based Recommender Dialog System". EMNLP(2019) [paper] [code]
ReDial: "Towards Deep Conversational Recommendations". NeurIPS(2018) [paper] [data]

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Knowledge-grounded Dialogue

DOCTOR: "Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents". EMNLP(2023) [paper] [code] [demo] ⭐⭐⭐⭐
GATE: "Well Begun is Half Done: Generator-agnostic Knowledge Pre-Selection for Knowledge-Grounded Dialogue". EMNLP(2023) [paper] [code]
CONNER: "Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators". EMNLP(2023) [paper] [code]
K-DIAL: "Improving Factual Consistency for Knowledge-Grounded Dialogue Systems via Knowledge Enhancement and Alignment". EMNLP-Findings(2023) [paper]
GLM-Dialog: "GLM-Dialog: Noise-tolerant Pre-training for Knowledge-grounded Dialogue Generation". arXiv(2023) [paper] [code]
RHO: "RHO (ρ): Reducing Hallucination in Open-domain Dialogues with Knowledge Grounding". ACL-Findings(2023) [paper] [code]
MultiRefKGC: "There Is No Standard Answer: Knowledge-Grounded Dialogue Generation with Adversarial Activated Multi-Reference Learning". EMNLP(2022) [paper] [code] ⭐⭐⭐
CorefDiffs: "CorefDiffs: Co-referential and Differential Knowledge Flow in Document Grounded Conversations". COLING(2022) [paper] [code]
DTR: "Stylized Knowledge-Grounded Dialogue Generation via Disentangled Template Rewriting". NAACL(2022) [paper] [code]
XDAI: "XDAI: A Tuning-free Framework for Exploiting Pre-trained Language Models in Knowledge Grounded Dialogue Generation". KDD(2022) [paper] [code]
PersonaKGC: "There Are a Thousand Hamlets in a Thousand People's Eyes: Enhancing Knowledge-grounded Dialogue with Personal Memory". ACL(2022) [paper] [code]
KI: "Lexical Knowledge Internalization for Neural Dialog Generation". ACL(2022) [paper] [code]
DiffKG: "Towards Large-Scale Interpretable Knowledge Graph Reasoning for Dialogue Systems". ACL-Findings(2022) [paper] [code] ⭐⭐⭐
KSAM: "KSAM: Infusing Multi-Source Knowledge into Dialogue Generation via Knowledge Source Aware Multi-Head Decoding". ACL-Findings(2022) [paper]
MDSP: "Multi-Stage Prompting for Knowledgeable Dialogue Generation". ACL-Findings(2022) [paper] [code]
FSB: "Few-Shot Bot: Prompt-Based Learning for Dialogue Systems". arXiv(2021) [paper] [code] ⭐⭐⭐
P-GDG: "Exploring Prompt-based Few-shot Learning for Grounded Dialog Generation". arXiv(2021) [paper]
KAT-TSLF: "A Three-Stage Learning Framework for Low-Resource Knowledge-Grounded Dialogue Generation". EMNLP(2021) [paper] [code]
DIALKI: "DIALKI: Knowledge Identification in Conversational Systems through Dialogue-Document Contextualization". EMNLP(2021) [paper] [code]
CoLV: "CoLV: A Collaborative Latent Variable Model for Knowledge-Grounded Dialogue Generation". EMNLP(2021) [paper]
SKT-KG: "Augmenting Knowledge-grounded Conversations with Sequential Knowledge Transition". NAACL(2021) [paper]
MSKE: "More is Better: Enhancing Open-Domain Dialogue Generation via Multi-Source Heterogeneous Knowledge". EMNLP(2021) [paper] [code]
EARL: "EARL: Informative Knowledge-Grounded Conversation Generation with Entity-Agnostic Representation Learning". EMNLP(2021) [paper] [code]
KGD-CF: "Increasing Faithfulness in Knowledge-Grounded Dialogue with Controllable Features". ACL(2021) [paper]
SECE: "Space Efficient Context Encoding for Non-Task-Oriented Dialogue Generation with Graph Attention Transformer". ACL(2021) [paper] [code] ⭐⭐⭐
MIKe: "Initiative-Aware Self-Supervised Learning for Knowledge-Grounded Conversations". SIGIR(2021) [paper] [code]
GOKC: "Learning to Copy Coherent Knowledge for Response Generation". AAAI(2021) [paper] [code]
KnowledGPT: "Knowledge-Grounded Dialogue Generation with Pre-trained Language Models". EMNLP(2020) [paper] [code]
DiffKS: "Difference-aware Knowledge Selection for Knowledge-grounded Conversation Generation". EMNLP-Findings(2020) [paper] [code]
DukeNet: "DukeNet: A Dual Knowledge Interaction Network for Knowledge-Grounded Conversation". SIGIR(2020) [paper] [code]
CCN: "Cross Copy Network for Dialogue Generation". EMNLP(2020) [paper] [code]
PIPM: "Bridging the Gap between Prior and Posterior Knowledge Selection for Knowledge-Grounded Dialogue Generation". EMNLP(2020) [paper]
ConceptFlow: "Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs". ACL(2020) [paper] [code] ⭐⭐⭐⭐
ConKADI: "Diverse and Informative Dialogue Generation with Context-Specific Commonsense Knowledge Awareness". ACL(2020) [paper] [code] ⭐⭐⭐
KIC: "Generating Informative Conversational Response using Recurrent Knowledge-Interaction and Knowledge-Copy". ACL(2020) [paper]
SKT: "Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue". ICLR(2020) [paper] [code] ⭐⭐⭐
KdConv: "KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation". ACL(2020) [paper] [data]
TransDG: "Improving Knowledge-aware Dialogue Generation via Knowledge Base Question Answering". AAAI(2020) [paper] [code]
RefNet: "RefNet: A Reference-aware Network for Background Based Conversation". AAAI(2020) [paper] [code]
GLKS: "Thinking Globally, Acting Locally: Distantly Supervised Global-to-Local Knowledge Selection for Background Based Conversation". AAAI(2020) [paper] [code]
AKGCM: "Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs". EMNLP(2019) [paper] [code]
DyKgChat: "DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs". EMNLP(2019) [paper] [code]
OpenDialKG: "OpenDialKG: Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graphs". ACL(2019) [paper] [data]
WoW: "Wizard of Wikipedia: Knowledge-Powered Conversational agents". ICLR(2019) [paper]
PostKS: "Learning to Select Knowledge for Response Generation in Dialog Systems". IJCAI(2019) [paper] [code-1] [code-2] ⭐⭐⭐
NKD: "Knowledge Diffusion for Neural Dialogue Generation". ACL(2018) [paper] [data]
Dual Fusion: "Smarter Response with Proactive Suggestion: A New Generative Neural Conversation Paradigm". IJCAI(2018) [paper]
CCM: "Commonsense Knowledge Aware Conversation Generation with Graph Attention". IJCAI(2018) [paper] [code-tf] [code-py] ⭐⭐⭐⭐⭐
MTask: "A Knowledge-Grounded Neural Conversation Model". AAAI(2018) [paper]
GenDS: "Flexible End-to-End Dialogue System for Knowledge Grounded Conversation". arXiv(2017) [paper]

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Task-oriented Dialogue

P-ToD: "Personalizing Task-oriented Dialog Systems via Zero-shot Generalizable Reward Function". CIKM(2022) [paper]
Dialogic: "Dialogic: Controllable Dialogue Simulation with In-Context Learning". EMNLP-Findings(2022) [paper] [code] ⭐⭐⭐
KB-Adapter: "Injecting Domain Knowledge in Language Models for Task-Oriented Dialogue Systems". EMNLP(2022) [paper] [code]
TacoBot: "Bootstrapping a User-Centered Task-Oriented Dialogue System". Proceedings of Alexa Prize TaskBot(2021) [paper] ⭐⭐⭐
USDA: "User Satisfaction Estimation with Sequential Dialogue Act Modeling in Goal-oriented Conversational Systems". WWW(2022) [paper] [code]
USS: "Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue Systems". SIGIR(2021) [paper] [data]
NS-Dial: "An Interpretable Neuro-Symbolic Reasoning Framework for Task-Oriented Dialogue Generation". ACL(2022) [paper] [code]
GALAXY: "GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-Supervised Learning and Explicit Policy Injection". AAAI(2022) [paper] [code]
PPTOD: "Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System". arXiv(2021) [paper] [code]
ToDCL: "Continual Learning in Task-Oriented Dialogue Systems". EMNLP(2021) [paper] [code]
IR-Net: "Intention Reasoning Network for Multi-Domain End-to-end Task-Oriented Dialogue". EMNLP(2021) [paper]
HyKnow: "HyKnow: End-to-End Task-Oriented Dialog Modeling with Hybrid Knowledge Management". ACL-Findings(2021) [paper] [code]
DDMN: "Dual Dynamic Memory Network for End-to-End Multi-turn Task-oriented Dialog Systems". COLING(2020) [paper] [code] ⭐⭐⭐
ToD-BERT: "ToD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogues". EMNLP(2020) [paper] [code]
GraphDialog: "GraphDialog: Integrating Graph Knowledge into End-to-End Task-Oriented Dialogue Systems". EMNLP(2020) [paper] [code]
MARCO: "Multi-Domain Dialogue Acts and Response Co-Generation". ACL(2020) [paper] [code]
DF-Net: "Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog". ACL(2020) [paper] [code]
MALA: "MALA: Cross-Domain Dialogue Generation with Action Learning". AAAI(2020) [paper]
SGD: "Towards Scalable Multi-domain Conversational Agents: The Schema-Guided Dialogue Dataset". AAAI(2020) [paper] [data]
CrossWOZ: "CrossWOZ: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset". TACL(2020) [paper] [code]
MultiWOZ: "MultiWOZ - A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling". EMNLP(2018) [paper] [code]
Neural Task-Oriented Dialogue: "Learning to Memorize in Neural Task-Oriented Dialogue Systems". MPhil Thesis(2019) [paper] ⭐⭐⭐⭐
GLMP: "Global-to-local Memory Pointer Networks for Task-Oriented Dialogue". ICLR(2019) [paper] [code] ⭐⭐⭐⭐⭐
KB Retriever: "Entity-Consistent End-to-end Task-Oriented Dialogue System with KB Retriever". EMNLP(2019) [paper] [data]
TRADE: "Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems". ACL(2019) [paper] [code]
WMM2Seq: "A Working Memory Model for Task-oriented Dialog Response Generation". ACL(2019) [paper]
Pretrain-Fine-tune: "Training Neural Response Selection for Task-Oriented Dialogue Systems". ACL(2019) [paper] [data]
Multi-level Mem: "Multi-Level Memory for Task Oriented Dialogs". NAACL(2019) [paper] [code] ⭐⭐⭐
BossNet: "Disentangling Language and Knowledge in Task-Oriented Dialogs ". NAACL(2019) [paper] [code]
SDN: "Subgoal Discovery for Hierarchical Dialogue Policy Learning". EMNLP(2018) [paper] ⭐⭐⭐
D3Q: "Discriminative Deep Dyna-Q: Robust Planning for Dialogue Policy Learning". EMNLP(2018) [paper] [code]
DDQ: "Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning". ACL(2018) [paper] [code]
MAD: "Memory-augmented Dialogue Management for Task-oriented Dialogue Systems". TOIS(2018) [paper]
TSCP: "Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures". ACL(2018) [paper] [code]
Mem2Seq: "Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems". ACL(2018) [paper] [code] ⭐⭐⭐⭐
Topic-Seg-Label: "A Weakly Supervised Method for Topic Segmentation and Labeling in Goal-oriented Dialogues via Reinforcement Learning". IJCAI(2018) [paper] [code]
AliMe: "AliMe Chat: A Sequence to Sequence and Rerank based Chatbot Engine". ACL(2017) [paper]
KVR Net: "Key-Value Retrieval Networks for Task-Oriented Dialogue". SIGDIAL(2017) [paper] [data]

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Open-domain Dialogue

Long-term Dialogue

THEANINE: "THEANINE: Revisiting Memory Management in Long-term Conversations with Timeline-augmented Response Generation". arXiv(2024) [paper]
LD-Agent: "Hello Again! LLM-powered Personalized Agent for Long-term Dialogue". arXiv(2024) [paper] [code]
CPD: "Position Debiasing Fine-Tuning for Causal Perception in Long-Term Dialogue". IJCAI(2024) [paper]
TemporalMemory: "Toward Conversational Agents with Context and Time Sensitive Long-term Memory". arXiv(2024) [paper] [data]
LoCoMo: "Evaluating Very Long-Term Conversational Memory of LLM Agents". ACL(2024) [paper] [data] ⭐⭐⭐
Conversation Chronicles: "Conversation Chronicles: Towards Diverse Temporal and Relational Dynamics in Multi-Session Conversations". EMNLP(2023) [paper] [data]
GapChat: "Mind the Gap Between Conversations for Improved Long-Term Dialogue Generation". EMNLP-Findings(2023) [paper] [data]
UniMC: "UniMC: A Unified Framework for Long-Term Memory Conversation via Relevance Representation Learning". arXiv(2023) [paper]
RS: "Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models". arXiv(2023) [paper]
MSC: "Beyond Goldfish Memory: Long-Term Open-Domain Conversation". ACL(2022) [paper] [data] ⭐⭐⭐

Response Generation

Overview: "Open-domain Dialogue Generation: What We Can Do, Cannot Do, And Should Do Next". ACL-NLP4ConvAI(2022) [paper] ⭐⭐⭐
Chirpy Cardinal: "Neural Generation Meets Real People: Building a Social, Informative Open-Domain Dialogue Agent". SIGDIAL(2022) [paper] [code] [project]
TIL: "Towards Efficient Dialogue Pre-training with Transferable and Interpretable Latent Structure". EMNLP(2022) [paper]
ProphetChat: "ProphetChat: Enhancing Dialogue Generation with Simulation of Future Conversation". ACL(2022) [paper]
DialoFlow: "Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances". ACL(2021) [paper] [code]
DiSCoL: "DiSCoL: Toward Engaging Dialogue Systems through Conversational Line Guided Response Generation". NAACL(2021) [paper] [code]
DialogBERT: "DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances". AAAI(2021) [paper]
BlenderBot: "Recipes for Building an Open-Domain Chatbot". EACL(2021) [paper] [code]
CDial-GPT: "A Large-Scale Chinese Short-Text Conversation Dataset". NLPCC(2020) [paper] [code]
DialoGPT: "DialoGPT : Large-Scale Generative Pre-training for Conversational Response Generation". ACL(2020) [paper] [code] ⭐⭐⭐⭐
CG-Policy: "Conversational Graph Grounded Policy Learning for Open-Domain Conversation Generation". ACL(2020) [paper]
PLATO-XL: "PLATO-XL: Exploring the Large-scale Pre-training of Dialogue Generation". arXiv(2021) [paper] [code]
PLATO-2: "PLATO-2: Towards Building an Open-Domain Chatbot via Curriculum Learning". ACL-Findings(2021) [paper] [code]
PLATO: "PLATO: Pre-trained Dialogue Generation Model with Discrete Latent Variable". ACL(2020) [paper] [code]
Guyu: "An Empirical Investigation of Pre-Trained Transformer Language Models for Open-Domain Dialogue Generation". arXiv(2020) [paper] [code]
CL4Dialogue: "Group-wise Contrastive Learning for Neural Dialogue Generation". EMNLP-Findings(2020) [paper] [code] ⭐⭐⭐
Neg-train: "Negative Training for Neural Dialogue Response Generation". ACL(2020) [paper] [code]
HDSA: "Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention". ACL(2019) [paper] [code] ⭐⭐⭐
CAS: "Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory". NAACL(2019) [paper] [code]
Edit-N-Rerank: "Response Generation by Context-aware Prototype Editing". AAAI(2019) [paper] [code] ⭐⭐⭐
HVMN: "Hierarchical Variational Memory Network for Dialogue Generation". WWW(2018) [paper] [code]
XiaoIce: "The Design and Implementation of XiaoIce, an Empathetic Social Chatbot". arXiv(2018) [paper] ⭐⭐⭐
D2A: "Dialog-to-Action: Conversational Question Answering Over a Large-Scale Knowledge Base". NeurIPS(2018) [paper] [code]
DAIM: "Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization". NeurIPS(2018) [paper]
REASON: "Dialog Generation Using Multi-turn Reasoning Neural Networks". NAACL(2018) [paper]
STD/HTD: "Learning to Ask Questions in Open-domain Conversational Systems with Typed Decoders". ACL(2018) [paper] [code]
CSF: "Generating Informative Responses with Controlled Sentence Function". ACL(2018) [paper] [code]
DAWnet: "Chat More: Deepening and Widening the Chatting Topic via A Deep Model". SIGIR(2018) [paper] [code]
ZSDG: "Zero-Shot Dialog Generation with Cross-Domain Latent Actions". SIGDIAL(2018) [paper] [code]
DUA: "Modeling Multi-turn Conversation with Deep Utterance Aggregation". COLING(2018) [paper] [code]
Data-Aug: "Sequence-to-Sequence Data Augmentation for Dialogue Language Understanding". COLING(2018) [paper] [code]
DC-MMI: "Generating More Interesting Responses in Neural Conversation Models with Distributional Constraints". EMNLP(2018) [paper] [code]
cVAE-XGate/CGate: "Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity". EMNLP(2018) [paper] [code]
Retrieval+multi-seq2seq: "An Ensemble of Retrieval-Based and Generation-Based Human-Computer Conversation Systems". IJCAI(2018) [paper]
DAM: "Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network". ACL(2018) [paper] [code] ⭐⭐⭐⭐
SMN: "Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-Based Chatbots". ACL(2017) [paper] [code] ⭐⭐⭐
CVAE/KgCVAE: "Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders". ACL(2017) [paper] [code] ⭐⭐⭐
TA-Seq2Seq: "Topic Aware Neural Response Generation". AAAI(2017) [paper] [code]
MA: "Mechanism-Aware Neural Machine for Dialogue Response Generation". AAAI(2017) [paper]
VHRED: "A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues". AAAI(2017) [paper] [code]
HRED: "Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models". AAAI(2016) [paper] [code]
RL-Dialogue: "Deep Reinforcement Learning for Dialogue Generation". EMNLP(2016) [paper]
MMI: "A Diversity-Promoting Objective Function for Neural Conversation Models". NAACL(2016) [paper] [code]

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Dialogue Evaluation

DialogBench: "DialogBench: Evaluating LLMs as Human-like Dialogue Systems". NAACL(2024) [paper] [code]
ChatEval: "ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate". arXiv(2023) [paper] [code]
ACCENT: "ACCENT: An Automatic Event Commonsense Evaluation Metric for Open-Domain Dialogue Systems". ACL(2023) [paper] [code]
LLMEval: "Understanding the Effectiveness of Very Large Language Models on Dialog Evaluation". IWSDS(2023) [paper]
ChatEvalPlatform: "Don't Forget Your ABC's: Evaluating the State-of-the-Art in Chat-Oriented Dialogue Systems". arXiv(2022) [paper] [code]
MDD-Eval: "MDD-Eval: Self-Training on Augmented Data for Multi-Domain Dialogue Evaluation". AAAI(2022) [paper] [code]
Self-Eval: "SelF-Eval: Self-supervised Fine-grained Dialogue Evaluation". COLING(2022) [paper] [code]
FineD-Eval: "FineD-Eval: Fine-grained Automatic Dialogue-Level Evaluation". EMNLP(2022) [paper] [code]
FlowEval: "FlowEval: A Consensus-Based Dialogue Evaluation Framework Using Segment Act Flows". EMNLP(2022) [paper]
IM2: "IM^2: an Interpretable and Multi-category Integrated Metric Framework for Automatic Dialogue Evaluation". EMNLP(2022) [paper] [code]
Q^2: "$Q^{2}$: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering". EMNLP(2021) [paper] [code]
QuantiDCE: "Towards Quantifiable Dialogue Coherence Evaluation". ACL(2021) [paper] [code]
DynaEval: "DynaEval: Unifying Turn and Dialogue Level Evaluation". ACL(2021) [paper] [code]
Review: "How to Evaluate Your Dialogue Models: A Review of Approaches". arXiv(2021) [paper]
ConvLabEval: "Is Your Goal-Oriented Dialog Model Performing Really Well? Empirical Analysis of System-wise Evaluation". SIGDIAL(2020) [paper]
FED: "Unsupervised Evaluation of Interactive Dialog with DialoGPT". SIGDIAL(2020) [paper] [code] [data] ⭐⭐⭐
Spot-the-Bot: "Spot The Bot: A Robust and Efficient Framework for the Evaluation of Conversational Dialogue Systems". EMNLP(2020) [paper] [code]
CMADE: "Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation". ACL(2020) [paper] [code]
Coherence: "Dialogue Coherence Assessment Without Explicit Dialogue Act Labels". ACL(2020) [paper] [code]
MAUDE: "Learning an Unreferenced Metric for Online Dialogue Evaluation". ACL(2020) [paper] [code]
GRADE: "GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue Systems". ACL(2020) [paper] [code]
uBLEU: "uBLEU: Uncertainty-Aware Automatic Evaluation Method for Open-Domain Dialogue Systems". ACL(2020) [paper] [code]
USR: "USR: An Unsupervised and Reference Free Evaluation Metric for Dialog Generation". ACL(2020) [paper] [code]
ACUTE-EVAL: "ACUTE-EVAL: Improved Dialogue Evaluation with Optimized Questions and Multi-turn Comparisons". NIPS ConvAI Workshop(2019) [paper] [code] ⭐⭐⭐
InteractiveEval: "Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems". NeurIPS(2019) [paper] [code] ⭐⭐⭐
ChatEval: "ChatEval: A Tool for Chatbot Evaluation". NAACL(2019) [paper] [project]
ADVMT: "One Ruler for All Languages: Multi-Lingual Dialogue Evaluation with Adversarial Multi-Task Learning". IJCAI(2018) [paper]

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Dialogue Misc.

Signed-dialogue: "Generating Signed Language Instructions in Large-Scale Dialogue Systems". NAACL(2024) [paper] [data]
Dialogue-KT: "Exploring Knowledge Tracing in Tutor-Student Dialogues". arXiv(2024) [paper] [code]
MathDial: "MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems". EMNLP-Findings(2023) [paper] [data]
EduChat: "EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education". arXiv(2023) [paper] [code]
ACT: "Learning to Clarify: Multi-turn Conversations with Action-Based Contrastive Self-Training". arXiv(2024) [paper]
ReviewMT: "Peer Review as A Multi-Turn and Long-Context Dialogue with Role-Based Interactions". arXiv(2024) [paper] [code]
WildChat: "WildChat: 1M ChatGPT Interaction Logs in the Wild". ICLR(2024) [paper] [data]
DialOp: "Decision-Oriented Dialogue for Human-AI Collaboration". arXiv(2023) [paper] [code] ⭐⭐⭐
DialogStudio: "DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI". arXiv(2023) [paper] [code]
MPC: "Multi-Party Chat: Conversational Agents in Group Settings with Humans and Models". arXiv(2023) [paper] [code]
SODA: "SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization". EMNLP(2023) [paper] [code] ⭐⭐⭐
speaker-adaptation: "Speaking the Language of Your Listener: Audience-Aware Adaptation via Plug-and-Play Theory of Mind". ACL-Findings(2023) [paper] [code]
SocialDial: "SocialDial: A Benchmark for Socially-Aware Dialogue Systems". SIGIR(2023) [paper] [data]
BotsTalk: "BotsTalk: Machine-sourced Framework for Automatic Curation of Large-scale Multi-skill Dialogue Datasets". EMNLP(2022) [paper] [code]
Dialogic: "Dialogic: Controllable Dialogue Simulation with In-Context Learning". EMNLP-Findings(2022) [paper] [code]
ProsocialDialog: "ProsocialDialog: A Prosocial Backbone for Conversational Agents". EMNLP(2022) [paper] [code]
MIC: "The Moral Integrity Corpus: A Benchmark for Ethical Dialogue Systems". ACL(2022) [paper] [code]
MoralDial: "MoralDial: A Framework to Train and Evaluate Moral Dialogue Systems via Constructing Moral Discussions". arXiv(2022) [paper]
DECODE: "I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling". ACL(2021) [paper] [code]

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Natural Language Generation

Survey on NLG

CTG: "A Survey of Controllable Text Generation using Transformer-based Pre-trained Language Models". arXiv(2022) [paper]
RTG: "A Survey on Retrieval-Augmented Text Generation". arXiv(2022) [paper]
Hallucination: "Survey of Hallucination in Natural Language Generation". arXiv(2022) [paper]
Evaluation: "A Survey of Evaluation Metrics Used for NLG Systems". arXiv(2020) [paper]

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NLG Theories and Techniques

RED: "Decoder-Only or Encoder-Decoder? Interpreting Language Model as a Regularized Encoder-Decoder". arXiv(2023) [paper] ⭐⭐⭐
LaMemo: "LaMemo: Language Modeling with Look-Ahead Memory". NAACL(2022) [paper] [code]
PTG: "Learning to Transfer Prompts for Text Generation". NAACL(2022) [paper] [code]
EISL: "Don't Take It Literally: An Edit-Invariant Sequence Loss for Text Generation". NAACL(2022) [paper] [code]
CT-Loss: "A Simple Contrastive Learning Objective for Alleviating Neural Text Degeneration". arXiv(2022) [paper] [code]
SimCTG: "A Contrastive Framework for Neural Text Generation". NeurIPS(2022) [paper] [code] ⭐⭐⭐
CoNT: "CoNT: Contrastive Neural Text Generation". NeurIPS(2022) [paper] [code]
Two-level-CL: "Keywords and Instances: A Hierarchical Contrastive Learning Framework Unifying Hybrid Granularities for Text Generation". ACL(2022) [paper]
CLAPS: "Contrastive Learning with Adversarial Perturbations for Conditional Text Generation". ICLR(2021) [paper] [code] ⭐⭐⭐⭐
RetGen: "RetGen: A Joint framework for Retrieval and Grounded Text Generation Modeling". AAAI(2022) [paper] [code]
RAG: "Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks". NeurIPS(2020) [paper] [code] ⭐⭐⭐⭐
TextGAIL: "TextGAIL: Generative Adversarial Imitation Learning for Text Generation". AAAI(2021) [paper] [code]
Latent-GLAT: "latent-GLAT: Glancing at Latent Variables for Parallel Text Generation". ACL(2022) [paper] [code]
s2s-ft: "s2s-ft: Fine-Tuning Pretrained Transformer Encoders for Sequence-to-Sequence Learning". arXiv(2021) [paper] [code]
EBM: "Exposure Bias versus Self-Recovery: Are Distortions Really Incremental for Autoregressive Text Generation?". EMNLP(2021) [paper]
DiscoDVT: "DiscoDVT: Generating Long Text with Discourse-Aware Discrete Variational Transformer". EMNLP(2021) [paper] [code]
DATG: "Data Augmentation for Text Generation Without Any Augmented Data". ACL(2021) [paper]
JointGT: "JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs". ACL-Findings(2021) [paper] [code]
Embedding-Transfer: "Bridging Subword Gaps in Pretrain-Finetune Paradigm for Natural Language Generation". ACL(2021) [paper] [code]
FastSeq: "EL-Attention: Memory Efficient Lossless Attention for Generation". ICML(2021) [paper] [code] ⭐⭐⭐
BERTSeq2Seq: "Leveraging Pre-trained Checkpoints for Sequence Generation Tasks". TACL(2020) [paper] [code-tf] [code-py] ⭐⭐⭐
ERNIE-GEN: "ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation". IJCAI(2020) [paper] [code] ⭐⭐⭐
DITTO: "Learning to Break the Loop: Analyzing and Mitigating Repetitions for Neural Text Generation". NeurIPS(2022) [paper] [code]
Repetition-Problem: "A Theoretical Analysis of the Repetition Problem in Text Generation". AAAI(2021) [paper] [code]
ENCONTER: "ENCONTER: Entity Constrained Progressive Sequence Generation via Insertion-based Transformer". EACL(2021) [paper] [code]
POINTER: "POINTER: Constrained Progressive Text Generation via Insertion-based Generative Pre-training". EMNLP(2020) [paper] [code]
Cascaded Generation: "Cascaded Text Generation with Markov Transformers". NeurIPS(2020) [paper] [code]
SFOT: "Improving Text Generation with Student-Forcing Optimal Transport". EMNLP(2020) [paper]
OT-Seq2Seq: "Improving Sequence-to-Sequence Learning via Optimal Transport". ICLR(2019) [paper] [code]

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Diffusion Models for NLG

RenderDiffusion: "RenderDiffusion: Text Generation as Image Generation". arXiv(2023) [paper]
Masked-Diffusion-LM: "A Cheaper and Better Diffusion Language Model with Soft-Masked Noise". arXiv(2023) [paper] [code]
discrete-diffusion: "A Reparameterized Discrete Diffusion Model for Text Generation". arXiv(2023) [paper] [code]
Difformer: "Difformer: Empowering Diffusion Models on the Embedding Space for Text Generation". arXiv(2023) [paper] ⭐⭐⭐
GENIE: "Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise". arXiv(2022) [paper] [code]
SED: "Self-conditioned Embedding Diffusion for Text Generation". arXiv(2022) [paper]
SSD-LM: "SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control". arXiv(2022) [paper] [code]
LD4LG: "Latent Diffusion for Language Generation". arXiv(2022) [paper] [code]
DiffusionBERT: "DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models". arXiv(2022) [paper] [code]
DiffusER: "DiffusER: Discrete Diffusion via Edit-based Reconstruction". arXiv(2022) [paper] [code]
SeqDiffuSeq: "SeqDiffuSeq: Text Diffusion with Encoder-Decoder Transformers". arXiv(2022) [paper] [code]
DiffuSeq: "DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models". ICLR(2023) [paper] [code]
Diffusion-LM: "Diffusion-LM Improves Controllable Text Generation". NeurIPS(2022) [paper] [code] ⭐⭐⭐
D3PM: "Structured Denoising Diffusion Models in Discrete State-Spaces". NeurIPS(2021) [paper] [code]

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Controllable Generation

ConGenBench: "Controllable Text Generation in the Instruction-Tuning Era". arXiv(2024) [paper] [code]
GeLaTo: "Tractable Control for Autoregressive Language Generation". arXiv(2023) [paper]
Cognac: "Controllable Text Generation with Language Constraints". arXiv(2022) [paper] [code]
CriticControl: "Critic-Guided Decoding for Controlled Text Generation". arXiv(2022) [paper]
LatentOps: "Composable Text Controls in Latent Space with ODEs". arXiv(2022) [paper] [code]
FAST: "FAST: Improving Controllability for Text Generation with Feedback Aware Self-Training". arXiv(2022) [paper]
DisCup: "DisCup: Discriminator Cooperative Unlikelihood Prompt-tuning for Controllable Text Generation". EMNLP(2022) [paper] [code]
MultiControl: "A Distributional Lens for Multi-Aspect Controllable Text Generation". EMNLP(2022) [paper] [code]
NADO: "Controllable Text Generation with Neurally-Decomposed Oracle". NeurIPS(2022) [paper] [code]
Mix-Match: "Mix and Match: Learning-free Controllable Text Generation using Energy Language Models". ACL(2022) [paper] [code]
ControlPrefix: "Controllable Natural Language Generation with Contrastive Prefixes". ACL-Findings(2022) [paper]
MUCOCO: "Controlled Text Generation as Continuous Optimization with Multiple Constraints". NeurIPS(2021) [paper] [code]
DExperts: "DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts". ACL(2021) [paper] [code]
FUDGE: "FUDGE: Controlled Text Generation With Future Discriminators". NAACL(2021) [paper] [code]
GeDi: "GeDi: Generative Discriminator Guided Sequence Generation". EMNLP-Findings(2021) [paper] [code]
GDC: "A Distributional Approach to Controlled Text Generation". ICLR(2021) [paper] [code] ⭐⭐⭐
CoCon: "CoCon: A Self-Supervised Approach for Controlled Text Generation". ICLR(2021) [paper] [code]
PPLM: "Plug and Play Language Models: A Simple Approach to Controlled Text Generation". ICLR(2020) [paper] [code] ⭐⭐⭐
CTRL: "CTRL: A Conditional Transformer Language Model for Controllable Generation". arXiv(2019) [paper] [code]

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Text Planning

CoScript: "Distilling Script Knowledge from Large Language Models for Constrained Language Planning". ACL(2023) [paper] [code]
RSTGen: "RSTGen: Imbuing Fine-Grained Interpretable Control into Long-FormText Generators". NAACL(2022) [paper]
Time Control: "Language Modeling via Stochastic Processes". ICLR(2022) [paper] [code] ⭐⭐⭐⭐⭐
PLANET: "PLANET: Dynamic Content Planning in Autoregressive Transformers for Long-form Text Generation". ACL(2022) [paper]
EventPlan: "Event Transition Planning for Open-ended Text Generation". ACL-Findings(2022) [paper] [code]
CETP: "Knowledge-based Review Generation by Coherence Enhanced Text Planning". SIGIR(2021) [paper] ⭐⭐⭐
PlanGen: "Plan-then-Generate: Controlled Data-to-Text Generation via Planning". EMNLP-Findings(2021) [paper] [code]
DYPLOC: "DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation". ACL(2021) [paper] [code]
Tree-PLAN: "Infobox-to-text Generation with Tree-like Planning based Attention Network". IJCAI(2020) [paper]
ProphetNet: "ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training". EMNLP-Findings(2020) [paper] [code] ⭐⭐⭐
PAIR: "PAIR: Planning and Iterative Refinement in Pre-trained Transformers for Long Text Generation". EMNLP(2020) [paper] [code]
SentPlan: "Sentence-Level Content Planning and Style Specification for Neural Text Generation". EMNLP(2019) [paper] [code]
PHVM: "Long and Diverse Text Generation with Planning-based Hierarchical Variational Model". EMNLP(2019) [paper] [code]
TwinNet: "Twin Networks: Matching the Future for Sequence Generation". ICLR(2018) [paper] [code]
PAG: "Plan, Attend, Generate: Planning for Sequence-to-Sequence Models". NIPS(2017) [paper]

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Decoding Algorithms

Speculative Decoding: "Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation". EMNLP-Findings(2023) [paper] [code] ⭐⭐⭐
Medusa: "Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads". Github(2023) [Blog] [code]
Lookahead Decoding: "Breaking the Sequential Dependency of LLM Inference Using Lookahead Decoding". LMSYS Org(2023) [Blog] [code] ⭐⭐⭐
Speculative Sampling: "Accelerating Large Language Model Decoding with Speculative Sampling". arXiv(2023) [paper]
Speculative Decoding: "Fast Inference from Transformers via Speculative Decoding". ICML(2023) [paper] [code]
Parallel Decoding: "Accelerating Transformer Inference for Translation via Parallel Decoding". ACL(2023) [paper] [code]
EAD: "The Stable Entropy Hypothesis and Entropy-Aware Decoding: An Analysis and Algorithm for Robust Natural Language Generation". arXiv(2023) [paper] [code]
Contrastive Search: "Contrastive Search Is What You Need For Neural Text Generation". TMLR(2023) [paper] [code] [blog] ⭐⭐⭐
Momentum Decoding: "Momentum Decoding: Open-ended Text Generation As Graph Exploration". arXiv(2022) [paper] [code]
Crowd Sampling: "Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding". arXiv(2022) [paper] [code]
RankGen: "RankGen: Improving Text Generation with Large Ranking Models". EMNLP(2022) [paper] [code]
Contrastive Decoding: "Contrastive Decoding: Open-ended Text Generation as Optimization". arXiv(2022) [paper] [code]
COLD: "COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics". NeurIPS(2022) [paper] [code] ⭐⭐⭐
Lattice: "Massive-scale Decoding for Text Generation using Lattices". NAACL(2022) [paper] [code]
KID: "Knowledge Infused Decoding". ICLR(2022) [paper] [code]
NeuroLogic A*esque: "NeuroLogic A *esque Decoding: Constrained Text Generation with Lookahead Heuristics". NAACL(2022) [paper] [code]
NeuroLogic: "NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints". NAACL(2021) [paper] [code]
DeLorean: "Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning". EMNLP(2020) [paper] [code]
Top-p (Nucleus) Sampling: "The Curious Case of Neural Text Degeneration". ICLR(2020) [paper] [code] ⭐⭐⭐
BP Decoding: "Blockwise Parallel Decoding for Deep Autoregressive Models". NIPS(2018) [paper]
Disjunctive Constraints: "Guided Generation of Cause and Effect". IJCAI(2020) [paper] [code-huggingface]
CGMH: "CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling". AAAI(2019) [paper] [code]
DBS: "Directed Beam Search: Plug-and-Play Lexically Constrained Language Generation". arXiv(2020) [paper] [code]
DBA: "Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine Translation". NAACL(2018) [paper] [code-official] [code-fairseq]
GBS: "Lexically Constrained Decoding for Sequence Generation Using Grid Beam Search". ACL(2017) [paper] [code]

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NLG Evaluation

Survey: "Leveraging Large Language Models for NLG Evaluation: A Survey". arXiv(2024) [paper]
BBScore: "BBScore: A Brownian Bridge Based Metric for Assessing Text Coherence". AAAI(2024) [paper]
GPTEval: "GPTEval: NLG Evaluation using GPT-4 with Better Human Alignment". arXiv(2023) [paper]
GPTScore: "GPTScore: Evaluate as You Desire". arXiv(2023) [paper] [code]
RoMe: "RoMe: A Robust Metric for Evaluating Natural Language Generation". ACL(2022) [paper] [code]
EAD: "Rethinking and Refining the Distinct Metric". ACL(2022) [paper] [code]
MID: "Mutual Information Divergence: A Unified Metric for Multimodal Generative Models". NeurIPS(2022) [paper]
DiscoScore: "DiscoScore: Evaluating Text Generation with BERT and Discourse Coherence". arXiv(2022) [paper] [code]
CTC-Score: "Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation". EMNLP(2021) [paper] [code]
BLEURT: "BLEURT: Learning Robust Metrics for Text Generation". ACL(2020) [paper] [code]

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Paper-Reading-ConvAI

Deep Learning in NLP

Dialogue Systems

Survey on Dialogue

Conversational LLMs

Multimodal Dialogue

Situated and Embodied Dialogue

Visually-grounded Dialogue

Proactive Dialogue

Misc. of Proactive Dialogue

Target-oriented Dialogue

Non-collaborative Dialogue (Persuasion and Negotiation)

Personalized Dialogue

Character-based Dialogue

Personality-aware Dialogue

Persona-based Dialogue

Emotional Dialogue

Emotional Support Dialogue

Empathetic Dialogue

Recommendation Dialogue and CRS

Knowledge-grounded Dialogue

Task-oriented Dialogue

Open-domain Dialogue

Long-term Dialogue

Response Generation

Dialogue Evaluation

Dialogue Misc.

Natural Language Generation

Survey on NLG

NLG Theories and Techniques

Diffusion Models for NLG

Controllable Generation

Text Planning

Decoding Algorithms

NLG Evaluation

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