gankim/tree-of-clarifications
π² Code for our EMNLP 2023 paper - π "Tree of Clarifications: Answering Ambiguous Questions with Retrieval-Augmented Large Language Models"
Implements a tree-based search strategy where LLMs explore multiple interpretations of ambiguous questions and prune low-confidence branches before generating answers. Integrates retrieval-augmented generation via ColBERT dense retrieval and optional Bing Search for external context, with OpenAI's API for language generation. Evaluated on the ASQA benchmark for long-form answer generation with state-of-the-art performance.
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Dec 04, 2023
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