hallucination mitigation

Scalpel: Fine-Grained Alignment of Attention Activation Manifolds via Mixture Gaussian Bridges to Mitigate Multimodal Hallucination WACV 2026 SEASON: Mitigating Temporal Hallucination in Video Large Language Models via Self-Diagnostic Contrastive Decoding CVPR 2026 Seeing Is Believing: Grounding Long-Video Understanding in Spatio-Temporal Visual Evidence AAAI 2026 SEVADE: Self-Evolving Multi-Agent Analysis with Decoupled Evaluation for Hallucination-Resistant Sarcasm Detection AAAI 2026 SMAP: Semantic Route Planning with Map-Grounded Multimodal Alignment CVPR 2026 SmartSight: Mitigating Hallucination in Video-LLMs Without Compromising Video Understanding via Temporal Attention Collapse AAAI 2026 Stable-RAG: Mitigating Retrieval-Permutation-Induced Hallucinations in Retrieval-Augmented Generation ACL 2026 Taming Object Hallucinations with Verified Atomic Confidence Estimation EACL 2026 Taming the Phantom: Token-Asymmetric Filtering for Hallucination Mitigation in Large Vision-Language Models AAAI 2026 The Unintended Trade-off of AI Alignment: Balancing Hallucination Mitigation and Safety in LLMs EACL 2026 Thinking in Uncertainty: Mitigating Hallucinations in MLRMs with Latent Entropy-Aware Decoding CVPR 2026 Think-Then-Generate: Structural Chain-of-Thought Reasoning for Consistent 3D Generation CVPR 2026 Towards Aligned and Efficient Large Language Models AAAI 2026 uir-cis at SemEval-2026 Task 12: Mitigating Prior-Induced Hallucinations in Retrieval-Augmented Reasoning via Precision-Oriented Decoding SemEval 2026 Uncertainty-Aware Exploratory Direct Preference Optimization for Multimodal Large Language Models CVPR 2026 Understanding and Mitigating Hallucinations in Multimodal Chain-of-Thought Models CVPR 2026 UTRAG at SemEval-2026 Task 8: History-Aware Query Rewriting and LoRA-Finetuned Generation for Multi-Turn RAG SemEval 2026 VCGD: Visual Clue Guided Decoding with Caption Model for Mitigating Hallucination in Multimodal Large Language Models AAAI 2026 VIB-Probe: Detecting and Mitigating Hallucinations in Vision-Language Models via Variational Information Bottleneck ACL 2026 VL-Calibration: Decoupled Confidence Calibration for Large Vision-Language Models Reasoning ACL 2026 Activation Steering Decoding: Mitigating Hallucination in Large Vision-Language Models through Bidirectional Hidden State Intervention ACL 2025 Active Layer-Contrastive Decoding Reduces Hallucination in Large Language Model Generation EMNLP 2025 Addressing Hallucination in Causal Q&A: The Efficacy of Fine-tuning over Prompting in LLMs COLING 2025 AdvERSEM: Adversarial Robustness Testing and Training of LLM-based Groundedness Evaluators via Semantic Structure Manipulation EMNLP 2025 Alleviating Hallucinations from Knowledge Misalignment in Large Language Models via Selective Abstention Learning ACL 2025