Wangzhen Guo — accepted AI-conference papers

2023

Counterfactual Multihop QA: A Cause-Effect Approach for Reducing Disconnected Reasoning

Wangzhen Guo, Qinkang Gong, Yanghui Rao, Hanjiang Lai

ACL 2023long

Multi-hop QA requires reasoning over multiple supporting facts to answer the question. However, the existing QA models always rely on shortcuts, e.g., providing the true answer by only one fact, rather than multi-hop reasoning, which is referred as disconnected reasoning problem. To alleviate this i…

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2023

From Parse-Execute to Parse-Execute-Refine: Improving Semantic Parser for Complex Question Answering over Knowledge Base

Wangzhen Guo, Linyin Luo, Hanjiang Lai, Jian Yin

EMNLP 2023long main

Parsing questions into executable logical forms has showed impressive results for knowledge-base question answering (KBQA). However, complex KBQA is a more challenging task that requires to perform complex multi-step reasoning. Recently, a new semantic parser called KoPL has been proposed to explici…

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