{"total":179,"rows":[{"id":"2411.16724","title":"Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Attention Lens","created":"2024-11-23","cited_by_count":143,"area":"mllm"},{"id":"2503.03321","title":"See What You Are Told: Visual Attention Sink in Large Multimodal Models","created":"2025-03-05","cited_by_count":132,"area":"mllm"},{"id":"2410.07149","title":"Towards Interpreting Visual Information Processing in Vision-Language Models","created":"2024-10-09","cited_by_count":122,"area":"mllm"},{"id":"2408.02032","title":"Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models","created":"2024-08-04","cited_by_count":94,"area":"mllm"},{"id":"2410.11779","title":"MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation","created":"2024-10-15","cited_by_count":88,"area":"mllm"},{"id":"2410.03577","title":"Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models","created":"2024-10-04","cited_by_count":72,"area":"mllm"},{"id":"2502.03628","title":"The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models via Visual Information Steering","created":"2025-02-05","cited_by_count":66,"area":"mllm"},{"id":"2503.12799","title":"Grounded Chain-of-Thought for Multimodal Large Language Models","created":"2025-03-17","cited_by_count":59,"area":"lr"},{"id":"2510.17771","title":"Seeing but Not Believing: Probing the Disconnect Between Visual Attention and Answer Correctness in VLMs","created":"2025-10-20","cited_by_count":55,"area":"mllm"},{"id":"2412.13817","title":"Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection","created":"2024-12-18","cited_by_count":46,"area":"mllm"},{"id":"2505.16652","title":"Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding","created":"2025-05-22","cited_by_count":43,"area":"mllm"},{"id":"2505.18657","title":"MLLMs are Deeply Affected by Modality Bias","created":"2025-05-24","cited_by_count":40,"area":"mllm"},{"id":"2410.08145","title":"Insight Over Sight: Exploring the Vision-Knowledge Conflicts in Multimodal LLMs","created":"2024-10-10","cited_by_count":38,"area":"mllm"},{"id":"2506.14766","title":"ASCD: Attention-Steerable Contrastive Decoding for Reducing Hallucination in MLLM","created":"2025-06-17","cited_by_count":37,"area":"mllm"},{"id":"2602.17659","title":"When Vision Overrides Language: Evaluating and Mitigating Counterfactual Failures in VLAs","created":"2026-02-19","cited_by_count":30,"area":"vla"},{"id":"2501.01346","title":"Large Vision-Language Model Alignment and Misalignment: A Survey Through the Lens of Explainability","created":"2025-01-02","cited_by_count":28,"area":"mllm"},{"id":"2501.01926","title":"Cross-Modal Attention Calibration for LVLM Hallucination Mitigation","created":"2025-01-03","cited_by_count":23,"area":"mllm"},{"id":"2503.08342","title":"Attention Reallocation: Towards Zero-cost and Controllable Hallucination Mitigation of MLLMs","created":"2025-03-11","cited_by_count":23,"area":"mllm"},{"id":"2502.01419","title":"Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models","created":"2025-02-03","cited_by_count":22,"area":"mllm"},{"id":"2505.16411","title":"Mitigating Hallucinations in Vision-Language Models through Image-Guided Head Suppression","created":"2025-05-22","cited_by_count":21,"area":"mllm"},{"id":"2412.15484","title":"Toward Robust Hyper-Detailed Image Captioning: A Multiagent Approach and Dual Evaluation Metrics for Factuality and Coverage","created":"2024-12-20","cited_by_count":20,"area":"mllm"},{"id":"2503.19622","title":"Exploring Hallucination of Large Multimodal Models in Video Understanding: Benchmark, Analysis and Mitigation","created":"2025-03-25","cited_by_count":20,"area":"lr"},{"id":"2411.16771","title":"VidHal: Benchmarking Temporal Hallucinations in Vision LLMs","created":"2024-11-25","cited_by_count":19,"area":null},{"id":"2505.17097","title":"Make LVLMs Focus: Context-Aware Attention Modulation for Better Multimodal In-Context Learning","created":"2025-05-21","cited_by_count":19,"area":"mllm"},{"id":"2410.11302","title":"Have the VLMs Lost Confidence? A Study of Sycophancy in VLMs","created":"2024-10-15","cited_by_count":15,"area":null},{"id":"2503.07772","title":"Hallucinatory Image Tokens: A Training-free EAZY Approach on Detecting and Mitigating Object Hallucinations in LVLMs","created":"2025-03-10","cited_by_count":15,"area":"mllm"},{"id":"2506.19848","title":"ScaleCap: Inference-Time Scalable Image Captioning via Dual-Modality Debiasing","created":"2025-06-24","cited_by_count":15,"area":null},{"id":"2509.23050","title":"Understanding Language Prior of LVLMs by Contrasting Chain-of-Embedding","created":"2025-09-27","cited_by_count":14,"area":"mllm"},{"id":"2509.21789","title":"Visual Multi-Agent System: Mitigating Hallucination Snowballing via Visual Flow","created":"2025-09-26","cited_by_count":13,"area":"mllm"},{"id":"2505.11739","title":"ZeroTuning: Unlocking the Initial Token's Power to Enhance Large Language Models Without Training","created":"2025-05-16","cited_by_count":12,"area":null},{"id":"2507.09184","title":"MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models","created":"2025-07-12","cited_by_count":12,"area":"mllm"},{"id":"2603.13366","title":"Thinking in Uncertainty: Mitigating Hallucinations in MLRMs with Latent Entropy-Aware Decoding","created":"2026-03-09","cited_by_count":12,"area":"lr"},{"id":"2503.10602","title":"TruthPrInt: Mitigating Large Vision-Language Models Object Hallucination Via Latent Truthful-Guided Pre-Intervention","created":"2025-03-13","cited_by_count":11,"area":"mllm"},{"id":"2505.21472","title":"Mitigating Hallucination in Large Vision-Language Models via Adaptive Attention Calibration","created":"2025-05-27","cited_by_count":11,"area":"mllm"},{"id":"2506.11073","title":"CLAIM: Mitigating Multilingual Object Hallucination in Large Vision-Language Models with Cross-Lingual Attention Intervention","created":"2025-06-03","cited_by_count":11,"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":"2503.02157","title":"MedHEval: Benchmarking Hallucinations and Mitigation Strategies in Medical Large Vision-Language Models","created":"2025-03-04","cited_by_count":10,"area":"mllm"},{"id":"2503.10183","title":"Through the Magnifying Glass: Adaptive Perception Magnification for Hallucination-Free VLM Decoding","created":"2025-03-13","cited_by_count":10,"area":"mllm"},{"id":"2506.04039","title":"Mitigating Hallucinations in Large Vision-Language Models via Entity-Centric Multimodal Preference Optimization","created":"2025-06-04","cited_by_count":10,"area":"mllm"},{"id":"2510.20229","title":"Why LVLMs Are More Prone to Hallucinations in Longer Responses: The Role of Context","created":"2025-10-23","cited_by_count":10,"area":"mllm"},{"id":"2501.19164","title":"Poison as Cure: Visual Noise for Mitigating Object Hallucinations in LVMs","created":"2025-01-31","cited_by_count":9,"area":"mllm"},{"id":"2503.08216","title":"Attention Hijackers: Detect and Disentangle Attention Hijacking in LVLMs for Hallucination Mitigation","created":"2025-03-11","cited_by_count":9,"area":"mllm"},{"id":"2505.15865","title":"How Do Large Vision-Language Models See Text in Image? Unveiling the Distinctive Role of OCR Heads","created":"2025-05-21","cited_by_count":9,"area":"mllm"},{"id":"2509.00723","title":"OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination","created":"2025-08-31","cited_by_count":9,"area":"alignment"},{"id":"2511.20032","title":"Tell Model Where to Look: Mitigating Hallucinations in MLLMs by Vision-Guided Attention","created":"2025-11-25","cited_by_count":9,"area":null},{"id":"2601.20279","title":"Hallucination Begins Where Saliency Drops","created":"2026-01-28","cited_by_count":9,"area":"mllm"},{"id":"2412.01250","title":"Collaborative Instance Object Navigation: Leveraging Uncertainty-Awareness to Minimize Human-Agent Dialogues","created":"2024-12-02","cited_by_count":8,"area":"agents"},{"id":"2505.10634","title":"Cross-Image Contrastive Decoding: Precise, Lossless Suppression of Language Priors in Large Vision-Language Models","created":"2025-05-15","cited_by_count":8,"area":"mllm"},{"id":"2506.08022","title":"Modality-Balancing Preference Optimization of Large Multimodal Models by Adversarial Negative Mining","created":"2025-05-20","cited_by_count":8,"area":"mllm"},{"id":"2601.05159","title":"Vision-Language Introspection: Mitigating Overconfident Hallucinations in MLLMs via Interpretable Bi-Causal Steering","created":"2026-01-08","cited_by_count":8,"area":"mllm"},{"id":"2601.05547","title":"VIB-Probe: Detecting and Mitigating Hallucinations in Vision-Language Models via Variational Information Bottleneck","created":"2026-01-09","cited_by_count":8,"area":"mllm"},{"id":"2503.14895","title":"Mitigating Object Hallucinations in MLLMs via Multi-Frequency Perturbations","created":"2025-03-19","cited_by_count":7,"area":"mllm"},{"id":"2511.12738","title":"Direct Visual Grounding by Directing Attention of Visual Tokens","created":"2025-11-16","cited_by_count":7,"area":"mllm"},{"id":"2512.18813","title":"Revealing Perception and Generation Dynamics in LVLMs: Mitigating Hallucinations via Validated Dominance Correction","created":"2025-12-21","cited_by_count":7,"area":"mllm"},{"id":"2601.04073","title":"Analyzing Reasoning Consistency in Large Multimodal Models under Cross-Modal Conflicts","created":"2026-01-07","cited_by_count":7,"area":"lr"},{"id":"2510.02790","title":"MaskCD: Mitigating LVLM Hallucinations by Image Head Masked Contrastive Decoding","created":"2025-10-03","cited_by_count":6,"area":"mllm"},{"id":"2511.17254","title":"Intervene-All-Paths: Unified Mitigation of LVLM Hallucinations across Alignment Formats","created":"2025-11-21","cited_by_count":6,"area":"mllm"},{"id":"2512.01922","title":"Med-VCD: Mitigating Hallucination for Medical Large Vision Language Models through Visual Contrastive Decoding","created":"2025-12-01","cited_by_count":6,"area":"mllm"},{"id":"2512.21577","title":"A Unified Definition of Hallucination: It's The World Model, Stupid!","created":"2025-12-25","cited_by_count":6,"area":"wm"},{"id":"2601.04897","title":"V-FAT: Benchmarking Visual Fidelity Against Text-bias","created":"2026-01-08","cited_by_count":6,"area":"lr"},{"id":"2411.02733","title":"DDFAV: Remote Sensing Large Vision Language Models Dataset and Evaluation Benchmark","created":"2024-11-05","cited_by_count":5,"area":"mllm"},{"id":"2504.08809","title":"Decoupling Contrastive Decoding: Robust Hallucination Mitigation in Multimodal Large Language Models","created":"2025-04-09","cited_by_count":5,"area":"lr"},{"id":"2509.18816","title":"Pay More Attention To Audio: Mitigating Imbalance of Cross-Modal Attention in Large Audio Language Models","created":"2025-09-23","cited_by_count":5,"area":null},{"id":"2510.22067","title":"Capturing Gaze Shifts for Guidance: Cross-Modal Fusion Enhancement for VLM Hallucination Mitigation","created":"2025-10-24","cited_by_count":5,"area":"mllm"},{"id":"2512.07730","title":"SAVE: Sparse Autoencoder-Driven Visual Information Enhancement for Mitigating Object Hallucination","created":"2025-12-08","cited_by_count":5,"area":"mllm"},{"id":"2602.01047","title":"Residual Decoding: Mitigating Hallucinations in Large Vision-Language Models via History-Aware Residual Guidance","created":"2026-02-01","cited_by_count":5,"area":"mllm"},{"id":"2602.04268","title":"KVSmooth: Mitigating Hallucination in Multi-modal Large Language Models through Key-Value Smoothing","created":"2026-02-04","cited_by_count":5,"area":"mllm"},{"id":"2602.21054","title":"VAUQ: Vision-Aware Uncertainty Quantification for LVLM Self-Evaluation","created":"2026-02-24","cited_by_count":5,"area":"mllm"},{"id":"2605.10815","title":"Probing Cross-modal Information Hubs in Audio-Visual LLMs","created":"2026-05-11","cited_by_count":5,"area":null},{"id":"2412.20622","title":"Towards a Systematic Evaluation of Hallucinations in Large-Vision Language Models","created":"2024-12-29","cited_by_count":4,"area":"mllm"},{"id":"2506.06279","title":"CoMemo: LVLMs Need Image Context with Image Memory","created":"2025-06-06","cited_by_count":4,"area":"mllm"},{"id":"2506.09522","title":"Revisit What You See: Revealing Visual Semantics in Vision Tokens to Guide LVLM Decoding","created":"2025-06-11","cited_by_count":4,"area":"mllm"},{"id":"2506.17587","title":"HalluRNN: Mitigating Hallucinations via Recurrent Cross-Layer Reasoning in Large Vision-Language Models","created":"2025-06-21","cited_by_count":4,"area":"lr"},{"id":"2509.07864","title":"Tracing and Mitigating Hallucinations in Multimodal LLMs via Dynamic Attention Localization","created":"2025-09-09","cited_by_count":4,"area":"mllm"},{"id":"2509.23379","title":"CCD: Mitigating Hallucinations in Radiology MLLMs via Clinical Contrastive Decoding","created":"2025-09-27","cited_by_count":4,"area":"mllm"},{"id":"2510.03903","title":"Zero-Shot Fine-Grained Image Classification Using Large Vision-Language Models","created":"2025-10-04","cited_by_count":4,"area":"mllm"},{"id":"2601.00659","title":"CRoPS: A Training-Free Hallucination Mitigation Framework for Vision-Language Models","created":"2026-01-02","cited_by_count":4,"area":"mllm"},{"id":"2602.11824","title":"Revis: Sparse Latent Steering to Mitigate Object Hallucination in Large Vision-Language Models","created":"2026-02-12","cited_by_count":4,"area":"mllm"},{"id":"2602.15556","title":"Revealing and Enhancing Core Visual Regions: Harnessing Internal Attention Dynamics for Hallucination Mitigation in LVLMs","created":"2026-02-17","cited_by_count":4,"area":"lr"},{"id":"2603.14935","title":"Video-CoE: Reinforcing Video Event Prediction via Chain of Events","created":"2026-03-16","cited_by_count":4,"area":null},{"id":"2606.27596","title":"Dismantling Pathological Shortcuts: A Causal Framework for Faithful LVLM Decoding","created":"2026-06-25","cited_by_count":4,"area":"lr"},{"id":"2608.07302","title":"Same Attention, Different Truths: Put Logit-Lens over Visual Attention to Detect and Mitigate LVLM Object Hallucination","created":"2026-08-07","cited_by_count":4,"area":"mllm"},{"id":"2505.17812","title":"Seeing It or Not? Interpretable Vision-aware Latent Steering to Mitigate Object Hallucinations","created":"2025-05-23","cited_by_count":3,"area":"mllm"},{"id":"2505.18503","title":"Focus on What Matters: Enhancing Medical Vision-Language Models with Automatic Attention Alignment Tuning","created":"2025-05-24","cited_by_count":3,"area":"mllm"},{"id":"2506.05439","title":"LLMs Can Compensate for Deficiencies in Visual Representations","created":"2025-06-05","cited_by_count":3,"area":"mllm"},{"id":"2506.23590","title":"CAI: Caption-Sensitive Attention Intervention for Mitigating Object Hallucination in Large Vision-Language Models","created":"2025-06-30","cited_by_count":3,"area":"mllm"},{"id":"2510.19183","title":"PruneHal: Reducing Hallucinations in Multi-modal Large Language Models through Adaptive KV Cache Pruning","created":"2025-10-22","cited_by_count":3,"area":"mllm"},{"id":"2512.03542","title":"V-ITI: Mitigating Hallucinations in Multimodal Large Language Models via Visual Inference-Time Intervention","created":"2025-12-03","cited_by_count":3,"area":"mllm"},{"id":"2512.12089","title":"VEGAS: Mitigating Hallucinations in Large Vision-Language Models via Vision-Encoder Attention Guided Adaptive Steering","created":"2025-12-12","cited_by_count":3,"area":"mllm"},{"id":"2601.03500","title":"SDCD: Structure-Disrupted Contrastive Decoding for Mitigating Hallucinations in Large Vision-Language Models","created":"2026-01-07","cited_by_count":3,"area":"mllm"},{"id":"2601.07645","title":"PlaM: Training-Free Plateau-Guided Model Merging for Better Visual Grounding in MLLMs","created":"2026-01-12","cited_by_count":3,"area":"lr"},{"id":"2602.00621","title":"Towards Interpretable Hallucination Analysis and Mitigation in LVLMs via Contrastive Neuron Steering","created":"2026-01-31","cited_by_count":3,"area":"mechinterp"},{"id":"2602.17186","title":"Focusing Where Vision Matters: Selective Training for Large Vision Language Models via Visual Information Gain","created":"2026-02-19","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":"2605.06664","title":"BAMI: Training-Free Bias Mitigation in GUI Grounding","created":"2026-05-07","cited_by_count":3,"area":null},{"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":"2606.29431","title":"FADE: Mitigating Hallucinations by Reducing Language-Prior Dominance in Large Vision-Language Models","created":"2026-06-28","cited_by_count":3,"area":"mllm"},{"id":"2503.04457","title":"TPC: Cross-Temporal Prediction Connection for Vision-Language Model Hallucination Reduction","created":"2025-03-06","cited_by_count":2,"area":"mllm"},{"id":"2507.07731","title":"Energy-Guided Decoding for Object Hallucination Mitigation","created":"2025-07-10","cited_by_count":2,"area":"mllm"},{"id":"2508.00726","title":"MIHBench: Benchmarking and Mitigating Multi-Image Hallucinations in Multimodal Large Language Models","created":"2025-08-01","cited_by_count":2,"area":"mllm"}],"next_cursor":"100"}