multimodal hallucination

ASCD: Attention-Steerable Contrastive Decoding for Reducing Hallucination in MLLM AAAI 2026 DiGraphHal-Bench: Evaluating Multimodal Large Language Models on Complex Directed Graphs CVPR 2026 Joint Multimodal Preference Optimization for Fine-Grained Visual-Textual Alignment EACL 2026 OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination AAAI 2026 Reallocating Attention Across Layers to Reduce Multimodal Hallucination CVPR 2026 Verb Mirage: Unveiling and Assessing Verb Concept Hallucinations in Multimodal Large Language Models AAAI 2026 EAGLE: Expert-Guided Self-Enhancement for Preference Alignment in Pathology Large Vision-Language Model ACL 2025 Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality ICLR 2025 PerturboLLaVA: Reducing Multimodal Hallucinations with Perturbative Visual Training ICLR 2025 HELPD: Mitigating Hallucination of LVLMs by Hierarchical Feedback Learning with Vision-enhanced Penalty Decoding EMNLP 2024 Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models ACL 2024 Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective ACL 2024 Volcano: Mitigating Multimodal Hallucination through Self-Feedback Guided Revision NAACL 2024