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cs.AI2024
Image-of-Thought Prompting for Visual Reasoning Refinement in Multimodal Large Language Models
Qiji Zhou, Ruochen Zhou, Zike Hu +3
Recent advancements in Chain-of-Thought (CoT) and related rationale-based works have significantly improved the performance of Large Language Models (LLMs) in complex reasoning tas…
cs.CL2024
In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation
Shiqi Chen, Miao Xiong, Junteng Liu +4
Large language models (LLMs) frequently hallucinate and produce factual errors, yet our understanding of why they make these errors remains limited. In this study, we delve into th…