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cs.AI2026
When Should Models Change Their Minds? Contextual Belief Management in Large Language Models
Haoming Xu, Weihong Xu, Zongrui Li +6
Long-horizon interactions require language models to manage accumulating information: when to update their state, when to preserve their state, and what to ignore. We study this ch…
cs.AI2024
Hidden in Plain Sight: Exploring Chat History Tampering in Interactive Language Models
Cheng'an Wei, Yue Zhao, Yujia Gong +3
Large Language Models (LLMs) such as ChatGPT and Llama have become prevalent in real-world applications, exhibiting impressive text generation performance. LLMs are fundamentally d…