{"total":55,"rows":[{"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":"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":"2411.09968","title":"Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs","created":"2024-11-15","cited_by_count":52,"area":"mllm"},{"id":"2411.15268","title":"ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models","created":"2024-11-22","cited_by_count":30,"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":"2412.06474","title":"Enhancing Vision-Language Model Reliability with Uncertainty-Guided Dropout Decoding","created":"2024-12-09","cited_by_count":15,"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":"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":"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":"2511.17722","title":"Can Vision-Language Models Count? A Synthetic Benchmark and Analysis of Attention-Based Interventions","created":"2025-11-21","cited_by_count":6,"area":"mllm"},{"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":"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":"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":"2602.21054","title":"VAUQ: Vision-Aware Uncertainty Quantification for LVLM Self-Evaluation","created":"2026-02-24","cited_by_count":5,"area":"mllm"},{"id":"2603.10470","title":"Fighting Hallucinations with Counterfactuals: Diffusion-Guided Perturbations for LVLM Hallucination Suppression","created":"2026-03-11","cited_by_count":5,"area":"mllm"},{"id":"2412.15739","title":"VORD: Visual Ordinal Calibration for Mitigating Object Hallucinations in Large Vision-Language Models","created":"2024-12-20","cited_by_count":4,"area":"mllm"},{"id":"2505.01958","title":"A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models","created":"2025-05-04","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":"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":"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":"2602.11737","title":"Mask What Matters: Mitigating Object Hallucinations in Multimodal Large Language Models with Object-Aligned Visual Contrastive Decoding","created":"2026-02-12","cited_by_count":3,"area":"mllm"},{"id":"2604.08645","title":"3D-VCD: Hallucination Mitigation in 3D-LLM Embodied Agents through Visual Contrastive Decoding","created":"2026-04-09","cited_by_count":3,"area":"mllm"},{"id":"2604.12424","title":"Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation","created":"2026-04-14","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":"2508.03177","title":"SAVER: Mitigating Hallucinations in Large Vision-Language Models via Style-Aware Visual Early Revision","created":"2025-08-05","cited_by_count":2,"area":"mllm"},{"id":"2602.17419","title":"EAGLE: Expert-Augmented Attention Guidance for Tuning-Free Industrial Anomaly Detection in Multimodal Large Language Models","created":"2026-02-19","cited_by_count":2,"area":"mllm"},{"id":"2603.04908","title":"AdaIAT: Adaptively Increasing Attention to Generated Text to Alleviate Hallucinations in LVLM","created":"2026-03-05","cited_by_count":2,"area":"mllm"},{"id":"2603.16284","title":"Locate-then-Sparsify: Attribution Guided Sparse Strategy for Visual Hallucination Mitigation","created":"2026-03-17","cited_by_count":2,"area":"mllm"},{"id":"2604.17982","title":"Mitigating Multimodal Hallucination via Phase-wise Self-reward","created":"2026-04-20","cited_by_count":2,"area":"mllm"},{"id":"2607.04163","title":"SeeMe: Mitigating Hallucinations in Large Vision-Language Models through Effective Visual Token Engineering","created":"2026-07-05","cited_by_count":2,"area":"mllm"},{"id":"2508.13744","title":"Mitigating Cross-Image Information Leakage in Multi-Image Understanding with Large Vision-Language Models","created":"2025-08-19","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":"2511.10292","title":"Adaptive Residual-Update Steering for Low-Overhead Hallucination Mitigation in Large Vision Language Models","created":"2025-11-13","cited_by_count":1,"area":"mllm"},{"id":"2511.11502","title":"PAS : Prelim Attention Score for Detecting Object Hallucinations in Large Vision--Language Models","created":"2025-11-14","cited_by_count":1,"area":"mllm"},{"id":"2602.00344","title":"When RAG Hurts: Diagnosing and Mitigating Attention Distraction in Retrieval-Augmented LVLMs","created":"2026-01-30","cited_by_count":1,"area":"mllm"},{"id":"2605.06679","title":"Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding","created":"2026-04-22","cited_by_count":1,"area":"mllm"},{"id":"2605.14621","title":"Do We Really Need External Tools to Mitigate Hallucinations? SIRA: Shared-Prefix Internal Reconstruction of Attribution","created":"2026-05-14","cited_by_count":1,"area":"mllm"},{"id":"2606.12898","title":"Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension","created":"2026-06-11","cited_by_count":1,"area":"mllm"},{"id":"2606.15821","title":"The Truth Stays in the Family: Enhancing Contextual Grounding via Inherited Truthful Heads in Model Lineages","created":"2026-06-14","cited_by_count":1,"area":"mllm"},{"id":"2606.29847","title":"See Only When Needed: Context-Aware Attention Intervention for Mitigating Hallucinations in LVLMs","created":"2026-06-29","cited_by_count":1,"area":"mllm"},{"id":"2509.08266","title":"Examining Vision Language Models through Multi-dimensional Experiments with Vision and Text Features","created":"2025-09-10","cited_by_count":0,"area":"mllm"},{"id":"2603.16558","title":"Segmentation-Based Attention Entropy: Detecting and Mitigating Object Hallucinations in Large Vision-Language Models","created":"2026-03-17","cited_by_count":0,"area":"mllm"},{"id":"2603.23934","title":"Revealing Multi-View Hallucination in Large Vision-Language Models","created":"2026-03-25","cited_by_count":0,"area":"mllm"},{"id":"2604.07914","title":"Mitigating Entangled Steering in Large Vision-Language Models for Hallucination Reduction","created":"2026-04-09","cited_by_count":0,"area":"mllm"},{"id":"2605.09443","title":"Through the Lens of Character: Resolving Modality-Role Interference in Multimodal Role-Playing Agent","created":"2026-05-10","cited_by_count":0,"area":"mllm"},{"id":"2605.11808","title":"Mitigating Action-Relation Hallucinations in LVLMs via Relation-aware Visual Enhancement","created":"2026-05-12","cited_by_count":0,"area":"mllm"},{"id":"2608.11474","title":"Test-Time Hallucination Control in Large Vision-Language Models","created":"2026-08-11","cited_by_count":0,"area":"mllm"},{"id":"2608.14854","title":"Zero-MELO: Test-Time Evidence Calibration with Multimodal LLMs for Zero-Shot Micro-Gesture Recognition","created":"2026-08-14","cited_by_count":0,"area":"mllm"},{"id":"2608.21819","title":"PatchGate: Narrowing the Verbalization Gap with Intrinsic Object Inventories in Frozen Vision-Language Models","created":"2026-08-22","cited_by_count":0,"area":"mllm"},{"id":"2608.28058","title":"Dynamic Alignment Compensation for Hallucination Mitigation in Large Vision-Language Models","created":"2026-08-28","cited_by_count":0,"area":"mllm"},{"id":"2609.01888","title":"Does Playing it Safe Count as Faithfulness? Reassessing LVLM Hallucination Mitigation Methods","created":"2026-09-01","cited_by_count":0,"area":"mllm"},{"id":"2609.09206","title":"MLLMs Hallucinate when Information Distribution Drifts in Synergy Heads","created":"2026-09-05","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"},{"id":"2610.01531","title":"Towards Reliable Vision-Language Models for Autonomous Driving","created":"2026-10-01","cited_by_count":0,"area":"mllm"}],"next_cursor":null}