Publications

Haotian Chen, Lingwei Zhang, Yiran Liu, Yang Yu (2024). Rethinking the Development of Large Language Models from the Causal Perspective: A Legal Text Prediction Case Study. AAAI 2024.

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Haotian Chen, Xinjie Shen, Zeqi Ye, Xiao Yang, Xu Yang, Weiqing Liu, Jiang Bian (2024). RD2Bench: Toward Data-Centric Automatic R&D. ICLR 2024 Workshop: How Far Are We From AGI.

Haotian Chen, Houjing Guo, Bingsheng Chen, Xiangdong Zhou (2024). OODREB: Benchmarking State-of-the-Art Methods for Out-Of-Distribution Generalization on Relation Extraction. WWW 2024.

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Haotian Chen, Han Zhang, Houjing Guo, Shuchang Yi, Bingsheng Chen, Xiangdong Zhou (2023). SALAS: Supervised Aspect Learning Improves Abstractive Multi-document Summarization Through Aspect Information Loss. ECML-PKDD 2023.

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Haotian Chen, Bingsheng Chen, Xiangdong Zhou (2023). Did the Models Understand Documents? Benchmarking Models for Language Understanding in Document-Level Relation Extraction. ACL 2023.

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