Tag: Large Language Model
All the articles with the tag "Large Language Model".
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Waking Up an AI: A Quantitative Framework for Prompt-Induced Phase Transition in Large Language Models
本文提出了一种双重提示框架(TIP和TQP)来量化大型语言模型(LLMs)的认知相变,发现LLMs对概念融合提示的情感反应与人类直觉差异显著,揭示了AI与人类认知在概念整合上的潜在鸿沟。
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Toward Reasonable Parrots: Why Large Language Models Should Argue with Us by Design
This position paper advocates for redesigning Large Language Models as 'reasonable parrots' that integrate argumentation theory principles to foster critical thinking through multi-persona dialogues, challenging users with diverse perspectives rather than providing one-sided answers.
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SAGE: A Framework of Precise Retrieval for RAG
本文提出SAGE框架,通过语义分割、基于梯度的块选择和LLM自反馈机制,提高RAG系统的检索精度和问答性能,同时显著降低成本。
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The Promise and Limits of LLMs in Constructing Proofs and Hints for Logic Problems in Intelligent Tutoring Systems
This paper evaluates LLMs in intelligent tutoring systems for propositional logic, demonstrating DeepSeek-V3's promising accuracy in proof construction (up to 86.7%) and hint generation (75%), but reveals significant pedagogical limitations in justification and subgoaling, necessitating hybrid approaches for educational integration.
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MAC-Tuning: LLM Multi-Compositional Problem Reasoning with Enhanced Knowledge Boundary Awareness
本文提出MAC-Tuning方法,通过分步微调分离答案预测和置信度估计,提升LLMs在多问题设置下的知识边界意识,显著减少幻觉并改善性能。