Papers by Yunchang Zhu

1 papers
Adaptive Information Seeking for Open-Domain Question Answering (2021.emnlp-main)

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Challenge: Existing iterative approaches to open-domain question answering use predefined strategies . e.g., BM25, DPR, and hyperlink are defined as actions .
Approach: They propose a novel adaptive information-seeking strategy for open-domain question answering . they propose to use a partially observed Markov decision process to select a proper retrieval action .
Outcome: Experiments on SQuAD Open and HotpotQA fullwiki show that AISO outperforms baseline methods with predefined strategies in retrieval and answer evaluations.

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