{"total":70,"rows":[{"id":"2404.18930","title":"Hallucination of Multimodal Large Language Models: A Survey","created":"2024-04-29","cited_by_count":388,"area":"mllm"},{"id":"2402.04788","title":"MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark","created":"2024-02-07","cited_by_count":372,"area":"mllm"},{"id":"2402.00253","title":"A Survey on Hallucination in Large Vision-Language Models","created":"2024-02-01","cited_by_count":357,"area":"mllm"},{"id":"2310.00754","title":"Analyzing and Mitigating Object Hallucination in Large Vision-Language Models","created":"2023-10-01","cited_by_count":316,"area":"mllm"},{"id":"2310.16045","title":"Woodpecker: Hallucination Correction for Multimodal Large Language Models","created":"2023-10-24","cited_by_count":226,"area":"mllm"},{"id":"2311.16839","title":"Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization","created":"2023-11-28","cited_by_count":225,"area":"mllm"},{"id":"2311.03287","title":"Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges","created":"2023-11-06","cited_by_count":131,"area":"mllm"},{"id":"2402.18476","title":"IBD: Alleviating Hallucinations in Large Vision-Language Models via Image-Biased Decoding","created":"2024-02-28","cited_by_count":118,"area":"mllm"},{"id":"2406.16338","title":"VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models","created":"2024-06-24","cited_by_count":90,"area":"mllm"},{"id":"2408.08632","title":"A Survey on Benchmarks of Multimodal Large Language Models","created":"2024-08-16","cited_by_count":82,"area":"mllm"},{"id":"2411.15296","title":"MME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMs","created":"2024-11-22","cited_by_count":72,"area":"mllm"},{"id":"2410.15778","title":"Reducing Hallucinations in Vision-Language Models via Latent Space Steering","created":"2024-10-21","cited_by_count":59,"area":"mllm"},{"id":"2406.10185","title":"Detecting and Evaluating Medical Hallucinations in Large Vision Language Models","created":"2024-06-14","cited_by_count":57,"area":"mllm"},{"id":"2410.12787","title":"The Curse of Multi-Modalities: Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio","created":"2024-10-16","cited_by_count":53,"area":"mllm"},{"id":"2408.10433","title":"CLIP-DPO: Vision-Language Models as a Source of Preference for Fixing Hallucinations in LVLMs","created":"2024-08-19","cited_by_count":49,"area":"mllm"},{"id":"2402.08680","title":"Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance","created":"2024-02-13","cited_by_count":46,"area":"mllm"},{"id":"2401.16355","title":"PathMMU: A Massive Multimodal Expert-Level Benchmark for Understanding and Reasoning in Pathology","created":"2024-01-29","cited_by_count":43,"area":"mllm"},{"id":"2405.05256","title":"THRONE: An Object-based Hallucination Benchmark for the Free-form Generations of Large Vision-Language Models","created":"2024-05-08","cited_by_count":36,"area":"mllm"},{"id":"2405.15356","title":"Alleviating Hallucinations in Large Vision-Language Models through Hallucination-Induced Optimization","created":"2024-05-24","cited_by_count":34,"area":"mllm"},{"id":"2310.01779","title":"HallE-Control: Controlling Object Hallucination in Large Multimodal Models","created":"2023-10-03","cited_by_count":32,"area":"mllm"},{"id":"2410.00193","title":"Do Vision-Language Models Really Understand Visual Language?","created":"2024-09-30","cited_by_count":32,"area":"mllm"},{"id":"2406.16449","title":"Evaluating and Analyzing Relationship Hallucinations in Large Vision-Language Models","created":"2024-06-24","cited_by_count":29,"area":"mllm"},{"id":"2409.18142","title":"A Survey on Multimodal Benchmarks: In the Era of Large AI Models","created":"2024-09-21","cited_by_count":27,"area":"mllm"},{"id":"2507.19024","title":"A Survey of Multimodal Hallucination Evaluation and Detection","created":"2025-07-25","cited_by_count":27,"area":"mllm"},{"id":"2404.03118","title":"LVLM-Interpret: An Interpretability Tool for Large Vision-Language Models","created":"2024-04-03","cited_by_count":24,"area":"mllm"},{"id":"2407.13442","title":"BEAF: Observing BEfore-AFter Changes to Evaluate Hallucination in Vision-language Models","created":"2024-07-18","cited_by_count":18,"area":"mllm"},{"id":"2408.06303","title":"Long-Form Answers to Visual Questions from Blind and Low Vision People","created":"2024-08-12","cited_by_count":18,"area":"mllm"},{"id":"2501.06553","title":"VASparse: Towards Efficient Visual Hallucination Mitigation via Visual-Aware Token Sparsification","created":"2025-01-11","cited_by_count":17,"area":"mllm"},{"id":"2403.14401","title":"Pensieve: Retrospect-then-Compare Mitigates Visual Hallucination","created":"2024-03-21","cited_by_count":14,"area":"mllm"},{"id":"2405.19186","title":"MetaToken: Detecting Hallucination in Image Descriptions by Meta Classification","created":"2024-05-29","cited_by_count":13,"area":"mllm"},{"id":"2503.14504","title":"Aligning Multimodal LLM with Human Preference: A Survey","created":"2025-03-18","cited_by_count":13,"area":"mllm"},{"id":"2403.16167","title":"ESREAL: Exploiting Semantic Reconstruction to Mitigate Hallucinations in Vision-Language Models","created":"2024-03-24","cited_by_count":12,"area":"mllm"},{"id":"2508.19972","title":"GLSim: Detecting Object Hallucinations in LVLMs via Global-Local Similarity","created":"2025-08-27","cited_by_count":11,"area":"mllm"},{"id":"2406.09121","title":"MMRel: Benchmarking Relation Understanding in Multi-Modal Large Language Models","created":"2024-06-13","cited_by_count":10,"area":"mllm"},{"id":"2509.10345","title":"Towards Understanding Visual Grounding in Visual Language Models","created":"2025-09-12","cited_by_count":10,"area":"mllm"},{"id":"2402.01345","title":"Skip \\n: A Simple Method to Reduce Hallucination in Large Vision-Language Models","created":"2024-02-02","cited_by_count":9,"area":"mllm"},{"id":"2412.00060","title":"MOSABench: Multi-Object Sentiment Analysis Benchmark for Evaluating Multimodal Large Language Models Understanding of Complex Image","created":"2024-11-25","cited_by_count":9,"area":"mllm"},{"id":"2506.10286","title":"HalLoc: Token-level Localization of Hallucinations for Vision Language Models","created":"2025-06-12","cited_by_count":9,"area":"mllm"},{"id":"2402.15300","title":"Seeing is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Guided Decoding","created":"2024-02-23","cited_by_count":8,"area":"mllm"},{"id":"2501.12206","title":"PAINT: Paying Attention to INformed Tokens to Mitigate Hallucination in Large Vision-Language Model","created":"2025-01-21","cited_by_count":8,"area":"mllm"},{"id":"2505.14257","title":"Mitigating Hallucination in Large Vision-Language Models through Aligning Attention Distribution to Information Flow","created":"2025-05-20","cited_by_count":8,"area":"mllm"},{"id":"2410.13121","title":"Trust but Verify: Programmatic VLM Evaluation in the Wild","created":"2024-10-17","cited_by_count":5,"area":"mllm"},{"id":"2503.23730","title":"KOFFVQA: An Objectively Evaluated Free-form VQA Benchmark for Large Vision-Language Models in the Korean Language","created":"2025-03-31","cited_by_count":5,"area":"mllm"},{"id":"2504.13123","title":"Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training","created":"2025-04-17","cited_by_count":5,"area":"mllm"},{"id":"2506.07575","title":"Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models","created":"2025-06-09","cited_by_count":5,"area":"mllm"},{"id":"2509.17481","title":"ChartHal: A Fine-grained Framework Evaluating Hallucination of Large Vision Language Models in Chart Understanding","created":"2025-09-22","cited_by_count":5,"area":"mllm"},{"id":"2510.09008","title":"On Epistemic Uncertainty of Visual Tokens for Object Hallucinations in Large Vision-Language Models","created":"2025-10-10","cited_by_count":5,"area":"mllm"},{"id":"2511.20515","title":"HalDec-Bench: Benchmarking Hallucination Detector in Image Captioning","created":"2025-11-25","cited_by_count":5,"area":"mllm"},{"id":"2512.07687","title":"HalluShift++: Bridging Language and Vision through Internal Representation Shifts for Hierarchical Hallucinations in MLLMs","created":"2025-12-08","cited_by_count":4,"area":"mllm"},{"id":"2601.06460","title":"Tone Matters: The Impact of Linguistic Tone on Hallucination in VLMs","created":"2026-01-10","cited_by_count":4,"area":"mllm"},{"id":"2603.02754","title":"Seeing Clearly without Training: Mitigating Hallucinations in Multimodal LLMs for Remote Sensing","created":"2026-03-03","cited_by_count":4,"area":"mllm"},{"id":"2311.07594","title":"How to Bridge the Gap between Modalities: Survey on Multimodal Large Language Model","created":"2023-11-10","cited_by_count":3,"area":"mllm"},{"id":"2602.22144","title":"NoLan: Mitigating Object Hallucinations in Large Vision-Language Models via Dynamic Suppression of Language Priors","created":"2026-02-25","cited_by_count":3,"area":"mllm"},{"id":"2605.24602","title":"Correcting Visual Blur Induced by Attention Distraction to Reduce Hallucinations: Algorithm and Theory","created":"2026-05-23","cited_by_count":3,"area":"mllm"},{"id":"2403.01373","title":"Quantity Matters: Towards Assessing and Mitigating Number Hallucination in Large Vision-Language Models","created":"2024-03-03","cited_by_count":2,"area":"mllm"},{"id":"2409.01151","title":"Understanding Multimodal Hallucination with Parameter-Free Representation Alignment","created":"2024-09-02","cited_by_count":2,"area":"mllm"},{"id":"2501.09039","title":"Playing Devil's Advocate: Unmasking Toxicity and Vulnerabilities in Large Vision-Language Models","created":"2025-01-14","cited_by_count":2,"area":"mllm"},{"id":"2508.10955","title":"Empowering Multimodal LLMs with External Tools: A Comprehensive Survey","created":"2025-08-14","cited_by_count":2,"area":"mllm"},{"id":"2509.19070","title":"ColorBlindnessEval: Can Vision-Language Models Pass Color Blindness Tests?","created":"2025-09-23","cited_by_count":2,"area":"mllm"},{"id":"2605.24024","title":"Mitigating Hallucinations in Large Vision-Language Models via Causal Route Gating","created":"2026-05-20","cited_by_count":2,"area":"mllm"},{"id":"2504.12137","title":"Efficient Contrastive Decoding with Probabilistic Hallucination Detection - Mitigating Hallucinations in Large Vision Language Models -","created":"2025-04-16","cited_by_count":1,"area":"mllm"},{"id":"2508.01653","title":"MAP: Mitigating Hallucinations in Large Vision-Language Models with Map-Level Attention Processing","created":"2025-08-03","cited_by_count":1,"area":"mllm"},{"id":"2510.18321","title":"Beyond Single Models: Mitigating Multimodal Hallucinations via Adaptive Token Ensemble Decoding","created":"2025-10-21","cited_by_count":1,"area":"mllm"},{"id":"2512.03992","title":"Value-Guided Iterative Refinement and the DIQ-H Benchmark for Evaluating VLM Robustness","created":"2025-12-03","cited_by_count":1,"area":"mllm"},{"id":"2602.10799","title":"RSHallu: Dual-Mode Hallucination Evaluation for Remote-Sensing Multimodal Large Language Models with Domain-Tailored Mitigation","created":"2026-02-11","cited_by_count":1,"area":"mllm"},{"id":"2603.22165","title":"ACPO: Counteracting Likelihood Displacement in Vision-Language Alignment with Asymmetric Constraints","created":"2026-03-23","cited_by_count":1,"area":"mllm"},{"id":"2603.15253","title":"HalDec-Bench: Benchmarking Hallucination Detector in Image Captioning","created":"2026-03-16","cited_by_count":0,"area":"mllm"},{"id":"2607.14499","title":"Contextualized Evaluation of Vision Language Models through Dynamic, Multi-turn Interactions","created":"2026-07-16","cited_by_count":0,"area":"mllm"},{"id":"2608.05616","title":"TruthLens: Object Hallucination Detection via Self-Evaluating Truthfulness Scores in LVLMs","created":"2026-08-06","cited_by_count":0,"area":"mllm"},{"id":"2609.38979","title":"Mitigating Object Hallucination in Large Vision-Language Models via False Discovery Controlled Visual Data Splitting","created":"2026-09-30","cited_by_count":0,"area":"mllm"}],"next_cursor":null}