Selected Publications

Ming Li, Pei (Patrick) Chen, Chenguang Wang, Hongyu Zhao, Yijun Liang, Yupeng Hou, Fuxiao Liu, Tianyi Zhou (2024). Mosaic IT: Enhancing Instruction Tuning with Data Mosaics.

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Wangtao Sun, Haotian Xu, Xuanqing Yu, Pei (Patrick) Chen, Shizhu He, Jun Zhao, Kang Liu (2024). ItD: Large Language Models Can Teach Themselves Induction through Deduction.

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Pei (Patrick) Chen, Boran Han, Shuai Zhang (2024). CoMM: Collaborative Multi-Agent, Multi-Reasoning-Path Prompting for Complex Problem Solving.

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Pei (Patrick) Chen, Wenlin Yao, Hongming Zhang, Xiaoman Pan, Dian Yu, Dong Yu, Jianshu Chen (2023). ZeroKBC: A Comprehensive Benchmark for Zero-Shot Knowledge Base Completion. ICDMW 2022.

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Pei (Patrick) Chen, Soumajyoti Sarkar, Leonard Lausen, Balasubramaniam Srinivasan, Sheng Zha, Ruihong Huang, George Karypis (2023). HYTREL: Hypergraph-enhanced Tabular Data Representation Learning. NeurIPS, 2023 (spotlight).

Cite arXiv code

Pei (Patrick) Chen, Haotian Xu, Cheng Zhang, Ruihong Huang (2022). Crossroads, Buildings and Neighborhoods: A Dataset for Fine-grained Location Recognition. NAACL 2022, long paper, acceptance rate: 21.96%.

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Pei (Patrick) Chen, Haibo Ding, Jun Araki, Ruihong Huang (2021). Explicitly Capturing Relations between Entity Mentions via Graph Neural Networks for Domain-specific Named Entity Recognition. ACL 2021, short paper, acceptance rate: 21.2%.

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Pei (Patrick) Chen, Kang Liu, Yubo Chen, Taifeng Wang, Jun Zhao (2021). Probing into the Root: A Dataset for Reason Extraction of Structural Events from Financial Documents. EACL 2021, short paper, acceptance rate: 24.7%.

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Pei (Patrick) Chen, Hang Yang, Kang Liu, Ruihong Huang, Yubo Chen, Taifeng Wang, Jun Zhao (2020). Reconstructing Event Regions for Event Extraction via Graph Attention Networks. AACL 2020, long paper, acceptance rate: 28.3%.

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Pei (Patrick) Chen, Robert Ford (2013). An example conference paper. In ICW.

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