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#hallucination mitigation

MAD: Modality-Adaptive Decoding for Mitigating Cross-Modal Hallucinations in Multimodal Large Language Models

Sangyun Chung, Se Yeon Kim et al.Jan 29arXiv

Multimodal AI models can mix up what they see and what they hear, making things up across senses; this is called cross-modal hallucination.

#multimodal large language models#cross-modal hallucination#contrastive decoding

Confidence Estimation for LLMs in Multi-turn Interactions

Caiqi Zhang, Ruihan Yang et al.Jan 5arXiv

This paper studies how sure (confident) large language models are during multi-turn chats where clues arrive step by step.

#multi-turn confidence estimation#LLM calibration#InfoECE