ENTITY
Yao et al.
Yao et al.
PulseAugur coverage of Yao et al. — every cluster mentioning Yao et al. across labs, papers, and developer communities, ranked by signal.
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Papers · 30d
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LLMs simulate planning via language-driven search, not true understanding
This article explores the concept of "planning" in Large Language Models (LLMs), distinguishing between traditional symbolic planning and LLM's language-driven heuristic search. It details the evolution of reasoning fra…
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AI agents leverage ReAct paradigm for autonomous task execution
AI agents are emerging as a dominant application paradigm for large language models, moving beyond simple chatbots to autonomously perceive, reason, and act in their environment. These agents utilize a loop of thought, …