zjunlp/Prompt4ReasoningPapers
[ACL 2023] Reasoning with Language Model Prompting: A Survey
Curates and systematizes research papers on prompting-based reasoning techniques for language models, organizing methods into strategy-enhanced categories (prompt engineering, process optimization, external engines) and knowledge-enhanced approaches (implicit/explicit knowledge). Provides comprehensive benchmarks, task collections, and tools including EasyInstruct, EasyEdit, and KnowLM frameworks for implementing reasoning capabilities. Serves as both a structured paper repository and practical implementation resource for researchers exploring in-context learning, chain-of-thought reasoning, and tool integration with LLMs.
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