hallucination mitigation

Hallucinations at the Firewall AAAI 2026 HulluEdit: Single-Pass Evidence-Consistent Subspace Editing for Mitigating Hallucinations in Large Vision-Language Models CVPR 2026 InEx: Hallucination Mitigation via Introspection and Cross-Modal Multi-Agent Collaboration AAAI 2026 Knowledge Injection Exists in MoE? Exploring Expert-Aware Contrast Decoding in MoE for Mitigating LLMs’ Hallucinations ACL 2026 KnowRL: Exploring Knowledgeable Reinforcement Learning for Factuality ACL 2026 KoCo: Conditioning Language Model Pre-training on Knowledge Coordinates ACL 2026 KVSmooth: Mitigating Hallucination in Multi-modal Large Language Models through Key-Value Smoothing CVPR 2026 Locate-then-Sparsify: Attribution Guided Sparse Strategy for Visual Hallucination Mitigation CVPR 2026 Look Closer! An Adversarial Parametric Editing Framework for Hallucination Mitigation in VLMs AAAI 2026 Mitigating Hallucinations in Large Language Models via Causal Reasoning AAAI 2026 Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation ACL 2026 Mitigating Multimodal Hallucinations via Gradient-based Self-Reflection CVPR 2026 One-by-One Stainer: A Fast and Hallucination Resilient Domain Adaptation Method for Histopathology MIDL 2026 One Token, Two Fates: A Unified Framework via Vision Token Manipulation Against MLLMs Hallucination CVPR 2026 Optimizing LVLMs with On-Policy Data for Effective Hallucination Mitigation WACV 2026 Over-Searching in Search-Augmented Large Language Models EACL 2026 PAR: Training-Free Positional Perturbation and Attention Recycling for Faithful OCR ACL 2026 PASE: Leveraging the Phonological Prior of WavLM for Low-Hallucination Generative Speech Enhancement AAAI 2026 Plane Geometry Problem Solving with Multi-modal Reasoning: A Survey EACL 2026 Prefill-Time Intervention for Mitigating Hallucination in Large Vision-Language Models CVPR 2026 Query-Routed Activation Editing with Truth-hierarchical Preference Optimization AAAI 2026 Relink: Constructing Query-Driven Evidence Graph On-the-Fly for GraphRAG AAAI 2026 Residual Decoding: Mitigating Hallucinations in Large Vision-Language Models via History-Aware Residual Guidance CVPR 2026 Same Attention, Different Truths: Put Logit-Lens over Visual Attention to Detect and Mitigate LVLM Object Hallucination CVPR 2026 SAVER: Mitigating Hallucinations in Large Vision-Language Models via Style-Aware Visual Early Revision AAAI 2026