most citedTree of Clarifications: Answering Ambiguous Questions with Retrieval-Augmented Large Language Models

4 citations · 4 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CL2025

ReSCORE: Label-free Iterative Retriever Training for Multi-hop Question Answering with Relevance-Consistency Supervision

Dosung Lee, Wonjun Oh, Boyoung Kim +3

Multi-hop question answering (MHQA) involves reasoning across multiple documents to answer complex questions. Dense retrievers typically outperform sparse methods like BM25 by leve…

cs.CL2023★ 4 cited

Tree of Clarifications: Answering Ambiguous Questions with Retrieval-Augmented Large Language Models

Gangwoo Kim, Sungdong Kim, Byeongguk Jeon +2

Questions in open-domain question answering are often ambiguous, allowing multiple interpretations. One approach to handling them is to identify all possible interpretations of the…