Woo Suk Choi — accepted AI-conference papers

2025

Confidence-guided Refinement Reasoning for Zero-shot Question Answering

Youwon Jang, Woo Suk Choi, Minjoon Jung, Minsu Lee, Byoung-Tak Zhang

EMNLP 2025

We propose Confidence-guided Refinement Reasoning (C2R), a novel training-free framework applicable to question-answering (QA) tasks across text, image, and video domains. C2R strategically constructs and refines sub-questions and their answers (sub-QAs), deriving a better confidence score for the t

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2022

Hypergraph Transformer: Weakly-Supervised Multi-hop Reasoning for Knowledge-based Visual Question Answering

Yu-Jung Heo, Eun-Sol Kim, Woo Suk Choi, Byoung-Tak Zhang

ACL 2022long

Knowledge-based visual question answering (QA) aims to answer a question which requires visually-grounded external knowledge beyond image content itself. Answering complex questions that require multi-hop reasoning under weak supervision is considered as a challenging problem since i) no supervision…

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