{"total":50,"rows":[{"id":"2506.11712","title":"Mitigating Hallucination Through Theory-Consistent Symmetric Multimodal Preference Optimization","created":"2025-06-13","cited_by_count":14,"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":"2505.12826","title":"Mitigating Hallucination in VideoLLMs via Temporal-Aware Activation Engineering","created":"2025-05-19","cited_by_count":8,"area":"mllm"},{"id":"2506.12609","title":"Not All Tokens and Heads Are Equally Important: Dual-Level Attention Intervention for Hallucination Mitigation","created":"2025-06-14","cited_by_count":7,"area":"mllm"},{"id":"2602.24041","title":"Look Carefully: Adaptive Visual Reinforcements in Multimodal Large Language Models for Hallucination Mitigation","created":"2026-02-27","cited_by_count":7,"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":"2507.06959","title":"CheXPO: Preference Optimization for Chest X-ray VLMs with Counterfactual Rationale","created":"2025-07-09","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":"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":"2512.00706","title":"Optimizing LVLMs with On-Policy Data for Effective Hallucination Mitigation","created":"2025-11-30","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":"2603.17662","title":"FINER: MLLMs Hallucinate under Fine-grained Negative Queries","created":"2026-03-18","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":"2510.16333","title":"RL makes MLLMs see better than SFT","created":"2025-10-18","cited_by_count":3,"area":"mllm"},{"id":"2512.13240","title":"Reflective Preference Optimization (RPO): Enhancing On-Policy Alignment via Hint-Guided Reflection","created":"2025-12-15","cited_by_count":3,"area":"mllm"},{"id":"2601.00623","title":"DA-DPO: Cost-efficient Difficulty-aware Preference Optimization for Reducing MLLM Hallucinations","created":"2026-01-02","cited_by_count":3,"area":"mllm"},{"id":"2503.04858","title":"SHAPE : Self-Improved Visual Preference Alignment by Iteratively Generating Holistic Winner","created":"2025-03-06","cited_by_count":2,"area":"mllm"},{"id":"2505.15963","title":"OViP: Online Vision-Language Preference Learning for VLM Hallucination","created":"2025-05-21","cited_by_count":2,"area":"mllm"},{"id":"2506.00930","title":"Aligning VLM Assistants with Personalized Situated Cognition","created":"2025-06-01","cited_by_count":2,"area":"mllm"},{"id":"2512.17189","title":"Anatomical Region-Guided Contrastive Decoding: A Plug-and-Play Strategy for Mitigating Hallucinations in Medical VLMs","created":"2025-12-19","cited_by_count":2,"area":"mllm"},{"id":"2603.12149","title":"Linking Perception, Confidence and Accuracy in MLLMs","created":"2026-03-12","cited_by_count":2,"area":"mllm"},{"id":"2604.21911","title":"When Prompts Override Vision: Prompt-Induced Hallucinations in LVLMs","created":"2026-04-23","cited_by_count":2,"area":"mllm"},{"id":"2606.00622","title":"MM-Snowball: Evaluating and Mitigating Hallucination Snowballing in Multimodal Multi-Turn Dialogue","created":"2026-05-30","cited_by_count":2,"area":"mllm"},{"id":"2607.11175","title":"The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy","created":"2026-07-13","cited_by_count":2,"area":"mllm"},{"id":"2509.24491","title":"Mitigating Visual Hallucinations via Semantic Curriculum Preference Optimization in MLLMs","created":"2025-09-29","cited_by_count":1,"area":"mllm"},{"id":"2511.18740","title":"Multimodal Large Language Models with Adaptive Preference Optimization for Sequential Recommendation","created":"2025-11-24","cited_by_count":1,"area":"mllm"},{"id":"2601.23041","title":"One-shot Optimized Steering Vector for Hallucination Mitigation for VLMs","created":"2026-01-30","cited_by_count":1,"area":"mllm"},{"id":"2602.09825","title":"SAKED: Mitigating Hallucination in Large Vision-Language Models via Stability-Aware Knowledge Enhanced Decoding","created":"2026-02-10","cited_by_count":1,"area":"mllm"},{"id":"2604.02784","title":"EnsemHalDet: Robust VLM Hallucination Detection via Ensemble of Internal State Detectors","created":"2026-04-03","cited_by_count":1,"area":"mllm"},{"id":"2604.24395","title":"Aligning with Your Own Voice: Self-Corrected Preference Learning for Hallucination Mitigation in LVLMs","created":"2026-04-27","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":"2606.29805","title":"Clearer Sight, Fewer Lies: Oriented Pickup Preference Optimization for Multimodal Hallucination Mitigation","created":"2026-06-29","cited_by_count":1,"area":"mllm"},{"id":"2507.21584","title":"TARS: MinMax Token-Adaptive Preference Strategy for Hallucination Reduction in MLLMs","created":"2025-07-29","cited_by_count":0,"area":"mllm"},{"id":"2602.01769","title":"IRIS: Implicit Reward-Guided Internal Sifting for Mitigating Multimodal Hallucination","created":"2026-02-02","cited_by_count":0,"area":"mllm"},{"id":"2604.12115","title":"HTDC: Hesitation-Triggered Differential Calibration for Mitigating Hallucination in Large Vision-Language Models","created":"2026-04-13","cited_by_count":0,"area":"mllm"},{"id":"2605.04874","title":"Uncertainty-Aware Exploratory Direct Preference Optimization for Multimodal Large Language Models","created":"2026-05-06","cited_by_count":0,"area":"mllm"},{"id":"2605.24957","title":"Mitigating Object Hallucinations in Vision-Language Models through Region-Aware Attention Recalibration","created":"2026-05-24","cited_by_count":0,"area":"mllm"},{"id":"2605.25036","title":"Language Bias in LVLMs: From In-Depth Analysis to Simple and Effective Mitigation","created":"2026-05-24","cited_by_count":0,"area":"mllm"},{"id":"2605.31312","title":"Learning from Fine-Grained Visual Discrepancies: Mitigating Multimodal Hallucinations via In-Context Visual Contrastive Optimization","created":"2026-05-29","cited_by_count":0,"area":"mllm"},{"id":"2606.12590","title":"Analyzing and Improving Fine-grained Preference Optimization in Medical LVLMs","created":"2026-06-10","cited_by_count":0,"area":"mllm"},{"id":"2606.28401","title":"Vision-driven Preference Synthesis for Mitigating Hallucinations in VLMs","created":"2026-06-24","cited_by_count":0,"area":"mllm"},{"id":"2607.16841","title":"Look Clearly Before Answering: Mitigating Hallucinations in LVLMs via Saliency-Driven Perceptual Realignment","created":"2026-07-18","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":"2608.29924","title":"Hallucination Mitigation for Large Vision-Language Models via Implicit Feature Stabilization","created":"2026-08-30","cited_by_count":0,"area":"mllm"},{"id":"2609.00231","title":"Beyond Language Priors: Diagnosing and Fixing Visual-Origin Hallucinations in Multimodal LLM","created":"2026-08-31","cited_by_count":0,"area":"mllm"},{"id":"2609.04720","title":"Knowing What Not to Answer: Selective Non-Compliance in Vision-Language Models","created":"2026-09-04","cited_by_count":0,"area":"mllm"},{"id":"2609.35294","title":"Beyond Saying Less: Fine-Grained Alignment for Informative and Faithful Vision-Language Models","created":"2026-09-28","cited_by_count":0,"area":"mllm"},{"id":"2609.36440","title":"DARE to Mitigate Hallucination: Dual-path Auto-Regressive-aware Editing","created":"2026-09-29","cited_by_count":0,"area":"mllm"},{"id":"2610.18609","title":"DPOison-VL: Clean Preference Poisoning in Vision-Language Direct Preference Optimization","created":"2026-10-13","cited_by_count":0,"area":"mllm"}],"next_cursor":null}