luban-agi/Awesome-LLM-reasoning
A curated paper list on LLM reasoning.
This project is a curated list of research papers focused on improving how Large Language Models (LLMs) think and solve complex problems. It brings together cutting-edge research on techniques like 'Graph of Thought' and 'Backward Reasoning' to help researchers and practitioners understand and apply advanced reasoning capabilities to their LLM applications. You'll find papers exploring methods to enhance LLM problem-solving, like breaking down questions or self-training.
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Use this if you are a researcher or practitioner in AI, natural language processing, or machine learning, looking to deepen your understanding of advanced reasoning techniques for Large Language Models.
Not ideal if you are looking for ready-to-use software or code libraries to directly implement LLM solutions without delving into the underlying research papers.
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Mar 04, 2024
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