YuweiYin/ARR
ARR: QA with LLMs via Analyzing, Retrieving, and Reasoning
This project helps anyone who needs to get accurate answers from complex questions using large language models (LLMs). It takes a question as input and produces a detailed, step-by-step reasoning process along with a precise answer. This is ideal for professionals like researchers, analysts, or educators who rely on LLMs for critical information retrieval and understanding across various knowledge domains.
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Use this if you need to improve the accuracy and reliability of answers generated by large language models for complex question-answering tasks, especially those requiring detailed analysis and reasoning.
Not ideal if you are looking for a simple, out-of-the-box chatbot solution or if your primary need is basic text generation without intricate reasoning requirements.
Stars
9
Forks
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Language
Python
License
MIT
Category
Last pushed
May 16, 2025
Commits (30d)
0
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