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- 2025.1: 🔥🔥🔥 Check out our latest work: VL-Uncertainty, leveraging semantic-equivalent perturbation for refined LVLM uncertainty estimation!
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Calibration-MLLM Unveiling Uncertainty: A Deep Dive into Calibration and Performance of Multimodal Large Language Models (19 Dec 2024, COLING 2025)
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LAP LAP, Using Action Feasibility for Improved Uncertainty Alignment of Large Language Model Planners (9 Dec 2024)
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DropoutDecoding From Uncertainty to Trust: Enhancing Reliability in Vision-Language Models with Uncertainty-Guided Dropout Decoding (9 Dec 2024)
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IDK I Don't Know: Explicit Modeling of Uncertainty with an [IDK] Token (9 Dec 2024, NeurIPS 2024)
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BayesVLM Post-hoc Probabilistic Vision-Language Models (8 Dec 2024)
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UA-CLM Enhancing Trust in Large Language Models with Uncertainty-Aware Fine-Tuning (3 Dec 2024)
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VL-Uncertainty VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation (18 Nov 2024)
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MUB Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios (5 Nov 2024)
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CrossPred-LVLM Can We Predict Performance of Large Models across Vision-Language Tasks? (14 Oct 2024)
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TRON Sample then Identify: A General Framework for Risk Control and Assessment in Multimodal Large Language Models (10 Oct 2024)
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Reference-free Hallucination Detection for Large Vision-Language Models (11 Aug 2024, EMNLP 2024 Findings)
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Semantic Entropy Detecting Hallucinations in Large Language Models Using Semantic Entropy (19 Jun 2024, Nature)
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UAL Uncertainty Aware Learning for Language Model Alignment (7 Jun 2024, ACL 2024)
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HIO Alleviating Hallucinations in Large Vision-Language Models through Hallucination-Induced Optimization (24 May 2024, NeurIPS 2024)
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Overconfidence is Key: Verbalized Uncertainty Evaluation in Large Language and Vision-Language Models (5 May 2024, TrustNLP 2024))
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Consistency and Uncertainty Consistency and Uncertainty: Identifying Unreliable Responses From Black-Box Vision-Language Models for Selective Visual Question Answering (16 Apr 2024, CVPR 2024)
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UPD Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models (29 Mar 2024)
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ICD Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding (27 Mar 2024, ACL 2024 Findings)
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The First to Know The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models? (14 Mar 2024, ECCV 2024)
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VLM-Uncertainty-Bench Uncertainty-Aware Evaluation for Vision-Language Models (22 Feb 2024)
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LogicCheckGPT Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models (18 Feb 2024, ACL 2024 Findings)
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UQ_ICL Uncertainty Quantification for In-Context Learning of Large Language Models (15 Feb 2024, NAACL 2024)
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IntroPlan Introspective Planning: Aligning Robots' Uncertainty with Inherent Task Ambiguity (9 Feb 2024, NeurIPS 2024)
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LLM-Uncertainty-Bench Benchmarking LLMs via Uncertainty Quantification (23 Jan 2024, NeurIPS 2024 Datasets & Benchmarks)
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VCD Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding (28 Nov 2023, CVPR 2024 Highlight)
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KnowNo Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners (4 Jul 2023, CoRL 2023, Best Student Paper)
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ProbVLM ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models (1 Jul 2023, ICCV 2023)
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Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs (22 Jun 2023, ICLR 2024)
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UQ-NLG Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models (30 May 2023, TMLR)
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Semantic Uncertainty Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation (19 Feb 2023, ICLR 2023 Spotlight)
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MAP MAP: Multimodal Uncertainty-Aware Vision-Language Pre-training Model (11 Oct 2022, CVPR 2023)
