#Knowledge-Augmented Planning

The project provides an extensive overview of reasoning with language model prompting, covering research on knowledge enhancement and prompt engineering. It supports understanding and development of reasoning in large language models for applications in fields like medical diagnosis and negotiation. By offering recent papers and methodological insights, it encourages further exploration on the evolution of reasoning in AI.

Explore a curated list of essential papers on advancements in Large Language Model (LLM) agents, detailing insights into interactive NLP, autonomous agents, and multimodal interactions. The collection includes comprehensive surveys on LLM planning, personality derivation, and memory capabilities, with applications in various domains. Regularly updated with significant works like KnowAgent for knowledge-augmented planning, this resource offers a balanced look at the developments and potential directions of AI-driven language models.