Boxin Du — accepted AI-conference papers

2024

Conversational Question Answering with Language Models Generated Reformulations over Knowledge Graph

Lihui Liu, Blaine Hill, Boxin Du, Fei Wang, Hanghang Tong

ACL 2024findings

Conversational question answering (ConvQA) over knowledge graphs (KGs) involves answering multi-turn natural language questions about information contained in a KG. State-of-the-art methods of ConvQA often struggle with inexplicit question-answer pairs. These inputs are easy for human beings to unde…

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2024

Hierarchical Multi-Marginal Optimal Transport for Network Alignment

Zhichen Zeng, Boxin Du, Si Zhang, Yinglong Xia, Zhining Liu, Hanghang Tong

AAAI 2024technical

Finding node correspondence across networks, namely multi-network alignment, is an essential prerequisite for joint learning on multiple networks. Despite great success in aligning networks in pairs, the literature on multi-network alignment is sparse due to the exponentially growing solution space…

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