{"list":"other","total":51,"rows":[{"id":"2404.18930","title":"Hallucination of Multimodal Large Language Models: A Survey","created":"2024-04-29","cited_by_count":388},{"id":"2402.00253","title":"A Survey on Hallucination in Large Vision-Language Models","created":"2024-02-01","cited_by_count":357},{"id":"2407.18418","title":"Know Your Limits: A Survey of Abstention in Large Language Models","created":"2024-07-25","cited_by_count":121},{"id":"2412.05563","title":"A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions","created":"2024-12-07","cited_by_count":121},{"id":"2504.05506","title":"ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering","created":"2025-04-07","cited_by_count":108},{"id":"2503.15850","title":"Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey","created":"2025-03-20","cited_by_count":95},{"id":"2402.00357","title":"Safety of Multimodal Large Language Models on Images and Texts","created":"2024-02-01","cited_by_count":75},{"id":"2411.11919","title":"VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation","created":"2024-11-18","cited_by_count":73},{"id":"2503.00172","title":"A Survey of Uncertainty Estimation Methods on Large Language Models","created":"2025-02-28","cited_by_count":62},{"id":"2402.15610","title":"Selective \"Selective Prediction\": Reducing Unnecessary Abstention in Vision-Language Reasoning","created":"2024-02-23","cited_by_count":40},{"id":"2311.01723","title":"Towards Calibrated Robust Fine-Tuning of Vision-Language Models","created":"2023-11-03","cited_by_count":35},{"id":"2402.14418","title":"Uncertainty-Aware Evaluation for Vision-Language Models","created":"2024-02-22","cited_by_count":29},{"id":"2507.19024","title":"A Survey of Multimodal Hallucination Evaluation and Detection","created":"2025-07-25","cited_by_count":27},{"id":"2403.09037","title":"The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?","created":"2024-03-14","cited_by_count":26},{"id":"2502.06884","title":"Learning Conformal Abstention Policies for Adaptive Risk Management in Large Language and Vision-Language Models","created":"2025-02-08","cited_by_count":21},{"id":"2504.00907","title":"Grounding Multimodal LLMs to Embodied Agents that Ask for Help with Reinforcement Learning","created":"2025-04-01","cited_by_count":21},{"id":"2505.20236","title":"Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models","created":"2025-05-26","cited_by_count":16},{"id":"2412.06474","title":"Enhancing Vision-Language Model Reliability with Uncertainty-Guided Dropout Decoding","created":"2024-12-09","cited_by_count":15},{"id":"2411.17261","title":"HEIE: MLLM-Based Hierarchical Explainable AIGC Image Implausibility Evaluator","created":"2024-11-26","cited_by_count":13},{"id":"2503.08308","title":"Seeing and Reasoning with Confidence: Supercharging Multimodal LLMs with an Uncertainty-Aware Agentic Framework","created":"2025-03-11","cited_by_count":12},{"id":"2504.11101","title":"Consensus Entropy: Harnessing Multi-VLM Agreement for Self-Verifying and Self-Improving OCR","created":"2025-04-15","cited_by_count":12},{"id":"2505.21472","title":"Mitigating Hallucination in Large Vision-Language Models via Adaptive Attention Calibration","created":"2025-05-27","cited_by_count":11},{"id":"2507.13773","title":"Teaching Vision-Language Models to Ask: Resolving Ambiguity in Visual Questions","created":"2025-07-18","cited_by_count":11},{"id":"2411.00394","title":"Right this way: Can VLMs Guide Us to See More to Answer Questions?","created":"2024-11-01","cited_by_count":10},{"id":"2512.04597","title":"When Robots Should Say \"I Don't Know\": Benchmarking Abstention in Embodied Question Answering","created":"2025-12-04","cited_by_count":10},{"id":"2603.12823","title":"Adaptive Vision-Language Model Routing for Computer Use Agents","created":"2026-03-13","cited_by_count":8},{"id":"2604.09529","title":"VL-Calibration: Decoupled Confidence Calibration for Large Vision-Language Models Reasoning","created":"2026-04-10","cited_by_count":8},{"id":"2503.13947","title":"Conformal Prediction and MLLM aided Uncertainty Quantification in Scene Graph Generation","created":"2025-03-18","cited_by_count":7},{"id":"2604.14799","title":"Knowing When Not to Answer: Evaluating Abstention in Multimodal Reasoning Systems","created":"2026-04-16","cited_by_count":7},{"id":"2410.10112","title":"Can We Predict Performance of Large Models across Vision-Language Tasks?","created":"2024-10-14","cited_by_count":6},{"id":"2507.04976","title":"Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models","created":"2025-07-07","cited_by_count":6},{"id":"2507.09279","title":"Prompt4Trust: A Reinforcement Learning Prompt Augmentation Framework for Clinically-Aligned Confidence Calibration in Multimodal Large Language Models","created":"2025-07-12","cited_by_count":6},{"id":"2603.27187","title":"Omni-Modal Dissonance Benchmark: Systematically Breaking Modality Consensus to Probe Robustness and Calibrated Abstention","created":"2026-03-28","cited_by_count":6},{"id":"2406.00980","title":"Selectively Answering Visual Questions","created":"2024-06-03","cited_by_count":5},{"id":"2505.09591","title":"Variational Visual Question Answering for Uncertainty-Aware Selective Prediction","created":"2025-05-14","cited_by_count":5},{"id":"2602.21054","title":"VAUQ: Vision-Aware Uncertainty Quantification for LVLM Self-Evaluation","created":"2026-02-24","cited_by_count":5},{"id":"2605.10893","title":"Grounded or Guessing? LVLM Confidence Estimation via Blind-Image Contrastive Ranking","created":"2026-05-11","cited_by_count":5},{"id":"2511.11169","title":"Refine and Align: Confidence Calibration through Multi-Agent Interaction in VQA","created":"2025-11-14","cited_by_count":4},{"id":"2512.15528","title":"EmoCaliber: Advancing Reliable Visual Emotion Comprehension via Confidence Verbalization and Calibration","created":"2025-12-17","cited_by_count":4},{"id":"2604.25591","title":"Walking Through Uncertainty: An Empirical Study of Uncertainty Estimation for Audio-Aware Large Language Models","created":"2026-04-28","cited_by_count":4},{"id":"2606.19950","title":"Confidence Calibration for Multimodal LLMs: An Empirical Study through Medical VQA","created":"2026-06-18","cited_by_count":4},{"id":"2504.17671","title":"Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction","created":"2025-04-24","cited_by_count":3},{"id":"2511.19199","title":"CLASH: A Benchmark for Cross-Modal Contradiction Detection","created":"2025-11-24","cited_by_count":3},{"id":"2601.00138","title":"Explicit Abstention Knobs for Predictable Reliability in Video Question Answering","created":"2025-12-31","cited_by_count":3},{"id":"2602.09214","title":"VLM-UQBench: A Benchmark for Modality-Specific and Cross-Modality Uncertainties in Vision Language Models","created":"2026-02-09","cited_by_count":3},{"id":"2603.00511","title":"Multimodal Adaptive Retrieval Augmented Generation through Internal Representation Learning","created":"2026-02-28","cited_by_count":3},{"id":"2509.13379","title":"The Art of Saying \"Maybe\": A Conformal Lens for Uncertainty Benchmarking in VLMs","created":"2025-09-16","cited_by_count":2},{"id":"2602.04924","title":"Knowing When to Answer: Adaptive Confidence Refinement for Reliable Audio-Visual Question Answering","created":"2026-02-04","cited_by_count":2},{"id":"2507.12945","title":"Analysis of Image-and-Text Uncertainty Propagation in Multimodal Large Language Models with Cardiac MR-Based Applications","created":"2025-07-17","cited_by_count":1},{"id":"2601.16397","title":"From Attribution to Abstention: Training-Free Attention-Based Auditing for Clinical Summarization","created":"2026-01-23","cited_by_count":1},{"id":"2604.26419","title":"Delineating Knowledge Boundaries for Honest Large Vision-Language Models","created":"2026-04-29","cited_by_count":1}],"next_cursor":null}