{"total":94,"rows":[{"id":"2404.18930","title":"Hallucination of Multimodal Large Language Models: A Survey","created":"2024-04-29","cited_by_count":388,"area":"mllm"},{"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":"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":"2408.02032","title":"Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models","created":"2024-08-04","cited_by_count":94,"area":"mllm"},{"id":"2405.14622","title":"Calibrated Self-Rewarding Vision Language Models","created":"2024-05-23","cited_by_count":78,"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":"2412.03735","title":"VidHalluc: Evaluating Temporal Hallucinations in Multimodal Large Language Models for Video Understanding","created":"2024-12-04","cited_by_count":68,"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":"2409.16597","title":"EventHallusion: Diagnosing Event Hallucinations in Video LLMs","created":"2024-09-25","cited_by_count":57,"area":"mllm"},{"id":"2405.17820","title":"Don't Miss the Forest for the Trees: Attentional Vision Calibration for Large Vision Language Models","created":"2024-05-28","cited_by_count":47,"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":"2502.10794","title":"Distraction is All You Need for Multimodal Large Language Model Jailbreaking","created":"2025-02-15","cited_by_count":36,"area":"mllm"},{"id":"2406.10638","title":"Unveiling the Ignorance of MLLMs: Seeing Clearly, Answering Incorrectly","created":"2024-06-15","cited_by_count":30,"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":"2501.01346","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":"2504.14666","title":"Generative Multimodal Pretraining with Discrete Diffusion Timestep Tokens","created":"2025-04-20","cited_by_count":28,"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":"2503.16734","title":"Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models","created":"2025-03-20","cited_by_count":26,"area":"mllm"},{"id":"2503.00361","title":"Octopus: Alleviating Hallucination via Dynamic Contrastive Decoding","created":"2025-03-01","cited_by_count":24,"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":"2409.19872","title":"Towards Unified Multimodal Editing with Enhanced Knowledge Collaboration","created":"2024-09-30","cited_by_count":18,"area":"mllm"},{"id":"2507.07151","title":"Robust Multimodal Large Language Models Against Modality Conflict","created":"2025-07-09","cited_by_count":18,"area":"mllm"},{"id":"2504.05810","title":"PaMi-VDPO: Mitigating Video Hallucinations by Prompt-Aware Multi-Instance Video Preference Learning","created":"2025-04-08","cited_by_count":17,"area":"mllm"},{"id":"2411.00304","title":"Unified Generative and Discriminative Training for Multi-modal Large Language Models","created":"2024-11-01","cited_by_count":15,"area":"mllm"},{"id":"2501.15269","title":"Mirage in the Eyes: Hallucination Attack on Multi-modal Large Language Models with Only Attention Sink","created":"2025-01-25","cited_by_count":15,"area":"mllm"},{"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":"2407.11422","title":"Reflective Instruction Tuning: Mitigating Hallucinations in Large Vision-Language Models","created":"2024-07-16","cited_by_count":12,"area":"mllm"},{"id":"2506.05551","title":"When Semantics Mislead Vision: Mitigating Large Multimodal Models Hallucinations in Scene Text Spotting and Understanding","created":"2025-06-05","cited_by_count":12,"area":"mllm"},{"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":"2412.06293","title":"Mastering Collaborative Multi-modal Data Selection: A Focus on Informativeness, Uniqueness, and Representativeness","created":"2024-12-09","cited_by_count":10,"area":"mllm"},{"id":"2412.10726","title":"NoisyEQA: Benchmarking Embodied Question Answering Against Noisy Queries","created":"2024-12-14","cited_by_count":10,"area":"mllm"},{"id":"2504.20468","title":"Antidote: A Unified Framework for Mitigating LVLM Hallucinations in Counterfactual Presupposition and Object Perception","created":"2025-04-29","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":"2507.05056","title":"INTER: Mitigating Hallucination in Large Vision-Language Models by Interaction Guidance Sampling","created":"2025-07-07","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":"2405.20081","title":"NoiseBoost: Alleviating Hallucination with Noise Perturbation for Multimodal Large Language Models","created":"2024-05-30","cited_by_count":9,"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":"2505.07001","title":"Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models","created":"2025-05-11","cited_by_count":9,"area":"mllm"},{"id":"2412.05243","title":"CompCap: Improving Multimodal Large Language Models with Composite Captions","created":"2024-12-06","cited_by_count":8,"area":"mllm"},{"id":"2412.11050","title":"RAC3: Retrieval-Augmented Corner Case Comprehension for Autonomous Driving with Vision-Language Models","created":"2024-12-15","cited_by_count":8,"area":"mllm"},{"id":"2505.12826","title":"Mitigating Hallucination in VideoLLMs via Temporal-Aware Activation Engineering","created":"2025-05-19","cited_by_count":8,"area":"mllm"},{"id":"2602.24195","title":"Uncertainty Quantification for Multimodal Large Language Models with Incoherence-adjusted Semantic Volume","created":"2026-02-27","cited_by_count":8,"area":"mllm"},{"id":"2403.10492","title":"Mitigating Dialogue Hallucination for Large Vision Language Models via Adversarial Instruction Tuning","created":"2024-03-15","cited_by_count":7,"area":"mllm"},{"id":"2406.10295","title":"Robustness of Structured Data Extraction from In-plane Rotated Documents using Multi-Modal Large Language Models (LLM)","created":"2024-06-13","cited_by_count":7,"area":"mllm"},{"id":"2412.14487","title":"Token Preference Optimization with Self-Calibrated Visual-Anchored Rewards for Hallucination Mitigation","created":"2024-12-19","cited_by_count":7,"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":"2509.00192","title":"Safe-LLaVA: A Privacy-Preserving Vision-Language Dataset and Benchmark for Biometric Safety","created":"2025-08-29","cited_by_count":7,"area":"mllm"},{"id":"2404.10332","title":"Prescribing the Right Remedy: Mitigating Hallucinations in Large Vision-Language Models via Targeted Instruction Tuning","created":"2024-04-16","cited_by_count":6,"area":"mllm"},{"id":"2504.15619","title":"AdaViP: Aligning Multi-modal LLMs via Adaptive Vision-enhanced Preference Optimization","created":"2025-04-22","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":"2410.06795","title":"From Pixels to Tokens: Revisiting Object Hallucinations in Large Vision-Language Models","created":"2024-10-09","cited_by_count":5,"area":"mllm"},{"id":"2502.15888","title":"Understanding and Evaluating Hallucinations in 3D Visual Language Models","created":"2025-02-18","cited_by_count":5,"area":"mllm"},{"id":"2503.20504","title":"UniVRSE: Unified Vision-conditioned Response Semantic Entropy for Hallucination Detection in Medical Vision-Language Models","created":"2025-03-26","cited_by_count":5,"area":"mllm"},{"id":"2506.17901","title":"PostAlign: Multimodal Grounding as a Corrective Lens for MLLMs","created":"2025-06-22","cited_by_count":5,"area":"mllm"},{"id":"2511.12693","title":"HEDGE: Hallucination Estimation via Dense Geometric Entropy for VQA with Vision-Language Models","created":"2025-11-16","cited_by_count":5,"area":"mllm"},{"id":"2412.02946","title":"Who Brings the Frisbee: Probing Hidden Hallucination Factors in Large Vision-Language Model via Causality Analysis","created":"2024-12-04","cited_by_count":4,"area":"mllm"},{"id":"2505.17061","title":"Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models","created":"2025-05-17","cited_by_count":4,"area":"mllm"},{"id":"2511.09228","title":"Taming Object Hallucinations with Verified Atomic Confidence Estimation","created":"2025-11-12","cited_by_count":4,"area":"mllm"},{"id":"2512.24271","title":"Taming Hallucinations: Boosting MLLMs' Video Understanding via Counterfactual Video Generation","created":"2025-12-30","cited_by_count":4,"area":"mllm"},{"id":"2408.00550","title":"Mitigating Multilingual Hallucination in Large Vision-Language Models","created":"2024-08-01","cited_by_count":3,"area":"mllm"},{"id":"2409.16494","title":"A Unified Hallucination Mitigation Framework for Large Vision-Language Models","created":"2024-09-24","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":"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":"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":"2504.21559","title":"Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models","created":"2025-04-30","cited_by_count":2,"area":"mllm"},{"id":"2505.24007","title":"Preemptive Hallucination Reduction: An Input-Level Approach for Multimodal Language Model","created":"2025-05-29","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"},{"id":"2508.10955","title":"Empowering Multimodal LLMs with External Tools: A Comprehensive Survey","created":"2025-08-14","cited_by_count":2,"area":"mllm"},{"id":"2512.19070","title":"Watch Closely: Mitigating Object Hallucinations in Large Vision-Language Models with Disentangled Decoding","created":"2025-12-22","cited_by_count":2,"area":"mllm"},{"id":"2601.18240","title":"V-Loop: Visual Logical Loop Verification for Hallucination Detection in Medical Visual Question Answering","created":"2026-01-26","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":"2603.26486","title":"ClipTTT: CLIP-Guided Test-Time Training Helps LVLMs See Better","created":"2026-03-27","cited_by_count":2,"area":"mllm"},{"id":"2409.03961","title":"Generating Faithful and Salient Text from Multimodal Data","created":"2024-09-06","cited_by_count":1,"area":"mllm"},{"id":"2503.20309","title":"Instruction-Oriented Preference Alignment for Enhancing Multi-Modal Comprehension Capability of MLLMs","created":"2025-03-26","cited_by_count":1,"area":"mllm"},{"id":"2506.07184","title":"Mitigating Behavioral Hallucination in Multimodal Large Language Models for Sequential Images","created":"2025-06-08","cited_by_count":1,"area":"mllm"},{"id":"2506.15583","title":"DiscoSG: Towards Discourse-Level Text Scene Graph Parsing through Iterative Graph Refinement","created":"2025-06-18","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":"2603.24058","title":"Mitigating Object Hallucinations in LVLMs via Attention Imbalance Rectification","created":"2026-03-25","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":"2605.30911","title":"What Makes LVLMs Hallucinate Less? Unveiling the Architectural Factors Behind Hallucination Robustness","created":"2026-05-29","cited_by_count":1,"area":"mllm"},{"id":"2606.03376","title":"P$^2$-DPO: Grounding Hallucination in Perceptual Processing via Calibration Direct Preference Optimization","created":"2026-06-02","cited_by_count":1,"area":"mllm"},{"id":"2606.14728","title":"FUSE: Quantifying Uncertainty in Vision-Language Models by Bayesian Fusing Epistemic and Aleatoric Uncertainty","created":"2026-06-01","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":"2503.18320","title":"Bridging Writing Manner Gap in Visual Instruction Tuning by Creating LLM-aligned Instructions","created":"2025-03-24","cited_by_count":0,"area":"mllm"},{"id":"2507.15652","title":"Extracting Visual Facts from Intermediate Layers for Mitigating Hallucinations in Multimodal Large Language Models","created":"2025-07-21","cited_by_count":0,"area":"mllm"},{"id":"2512.05546","title":"Conscious Gaze: Adaptive Attention Mechanisms for Hallucination Mitigation in Vision-Language Models","created":"2025-12-05","cited_by_count":0,"area":"mllm"},{"id":"2601.22451","title":"Countering the Over-Reliance Trap: Mitigating Object Hallucination for LVLMs via a Self-Validation Framework","created":"2026-01-30","cited_by_count":0,"area":"mllm"},{"id":"2602.21441","title":"Causal Decoding for Hallucination-Resistant Multimodal Large Language Models","created":"2026-02-24","cited_by_count":0,"area":"mllm"},{"id":"2603.21693","title":"Deterministic Hallucination Detection in Medical VQA via Confidence-Evidence Bayesian Gain","created":"2026-03-23","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":"2608.12746","title":"Dual-Stream Cross-Anchor Correction Grounding Long-Form Captions and the Domain Limits of Object-Level Anchors","created":"2026-08-13","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":"2610.06056","title":"ROT: Rotating Hidden States towards Contextual Vectors for Hallucination Mitigation in LVLMs","created":"2026-10-05","cited_by_count":0,"area":"mllm"}],"next_cursor":null}