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hallucination mitigation

361 papers

Papers

3D-VCD: Hallucination Mitigation in 3D-LLM Embodied Agents through Visual Contrastive Decoding CVPR 2026 5ting at SemEval-2026 Task 8: Strong End-to-End Multi-Turn RAG via LLM-Based Reranking and Faithfulness Control SemEval 2026 AdaIAT: Adaptively Increasing Attention to Generated Text to Alleviate Hallucinations in LVLM CVPR 2026 Anatomical Region-Guided Contrastive Decoding: A Plug-and-Play Strategy for Mitigating Hallucinations in Medical VLMs AAAI 2026 Anchoring the Cache: Mitigating Contextual Hallucination in KV-Compressed Long-Context Summarization ACL 2026 ART: Attention Replacement Technique to Improve Factuality in LLMs ACL 2026 Awakening Dormant Experts:Counterfactual Routing to Mitigate MoE Hallucinations ACL 2026 Beyond Surface Features: Advancing Medical Vision-Language Alignment via Dynamic Evidence-Guided Preference Optimization ACL 2026 CausalLens: Sensitivity-Guided Multi-Head Causal Intervention for Hallucination Mitigation in Large Vision-Language Models CVPR 2026 Causal Tracing of Object Representations in Large Vision Language Models: Mechanistic Interpretability and Hallucination Mitigation AAAI 2026 CEBC: Conformal Evidence-Bounded Control for Low-Hallucination Vision–Language Generation ACL 2026 Concept-RuleNet: Grounded Multi-Agent Neurosymbolic Reasoning in Vision Language Models AAAI 2026 COPO: Causal-Oriented Policy Optimization for Hallucinations of MLLMs CVPR 2026 Cross-Modal Attention Calibration for LVLM Hallucination Mitigation CVPR 2026 Dehallu3D: Hallucination-Mitigated 3D Generation from a Single Image via Cyclic View Consistency Refinement CVPR 2026 Do Retrieval Augmented Language Models Know When They Don’t Know? AAAI 2026 DUTIR at SemEval-2026 Task 8: A Hybrid Retrieval and Faithfulness-Guarded Framework for Multi-Turn RAG SemEval 2026 EchoBat: Echo-Vision Enhancement and Echo-Layered Sampling for Video LLMs Hallucination Mitigation AAAI 2026 Envision, Attend, Then Respond: Counterfactual Hallucination Mitigation in Large Vision-Language Models CVPR 2026 ESG-Bench: Benchmarking Long-Context ESG Reports for Hallucination Mitigation AAAI 2026 Eywa: Automating Model-Based Testing using LLMs NSDI 2026 Faithful in Steps: Improving Generalization and Citation in RAG via Query Decomposition AAAI 2026 FINER: MLLMs Hallucinate under Fine-grained Negative Queries CVPR 2026 GlitchCleaner: Lightweight Glitch Tokens Repairing by Lossless Gated LoRA in Large Language Models AAAI 2026 Hallucinate Less by Thinking More: Aspect-Based Causal Abstention for Large Language Models AAAI 2026