Publications

Jiangjie Chen, Siyu Yuan, Rong Ye, Bodhisattwa Prasad Majumder, Kyle Richardson (2023). Put Your Money Where Your Mouth Is: Evaluating Strategic Planning and Execution of LLM Agents in an Auction Arena. Preprint.

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Shuang Li, Jiangjie Chen, Siyu Yuan, Xinyi Wu, Hao Yang, Shimin Tao, Yanghua Xiao (2023). Translate Meanings, Not Just Words: IdiomKB's Role in Optimizing Idiomatic Translation with Language Models. Preprint.

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Jian Xie, Kai Zhang, Jiangjie Chen, Renze Lou, Yu Su (2023). Adaptive Chameleon or Stubborn Sloth: Unraveling the Behavior of Large Language Models in Knowledge Clashes. Preprint.

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Siyu Yuan, Jiangjie Chen, Xuyang Ge, Yanghua Xiao, Deqing Yang (2023). Beneath Surface Similarity: Large Language Models Make Reasonable Scientific Analogies after Structure Abduction. In The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023) - Findings.

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Siyu Yuan, Jiangjie Chen, Changzhi Sun, Jiaqing Liang, Yanghua Xiao, Deqing Yang (2023). AnalogyKB: Unlocking Analogical Reasoning of Language Models with A Million-scale Knowledge Base. Preprint.

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Jiangjie Chen, Wei Shi, Ziquan Fu, Sijie Cheng, Lei Li, Yanghua Xiao (2023). Say What You Mean! Large Language Models Speak Too Positively about Negative Commonsense Knowledge. In The 61th Annual Meeting of the Association for Computational Linguistics (ACL 2023).

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Siyu Yuan, Jiangjie Chen, Ziquan Fu, Xuyang Ge, Soham Shah, Charles Robert Jankowski, Yanghua Xiao, Deqing Yang (2023). Distilling Script Knowledge from Large Language Models for Constrained Language Planning. In The 61th Annual Meeting of the Association for Computational Linguistics (ACL 2023), Outstanding Paper Award.

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Jiangjie Chen, Yanghua Xiao (2022). Harnessing Knowledge and Reasoning for Human-Like Natural Language Generation: A Brief Review. In Bulletin of the IEEE Technical Committee on Data Engineering (Invited Paper).

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Sijie Cheng, Zhiyong Wu, Jiangjie Chen, Zhixing Li, Yang Liu, Lingpeng Kong (2022). Unsupervised Explanation Generation via Correct Instantiations. In The 37th AAAI Conference on Artificial Intelligence (AAAI 2023).

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Jiangjie Chen, Rui Xu, Wenxuan Zeng, Changzhi Sun, Lei Li, Yanghua Xiao (2022). Converge to the Truth: Factual Error Correction via Iterative Constrained Editing. In The 37th AAAI Conference on Artificial Intelligence (AAAI 2023).

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Chun Zeng, Jiangjie Chen, Tianyi Zhuang, Rui Xu, Hao Yang, Ying Qin, Shimin Tao, Yanghua Xiao (2022). Neighbors Are Not Strangers: Improving Non-Autoregressive Translation under Low-Frequency Lexical Constraints. In The 2022 Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT 2022).

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Jiangjie Chen, Rui Xu, Ziquan Fu, Wei Shi, Zhongqiao Li, Xinbo Zhang, Changzhi Sun, Lei Li, Yanghua Xiao, Hao Zhou (2022). E-KAR: A Benchmark for Rationalizing Natural Language Analogical Reasoning. In The 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022) - Findings.

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Shineng Fang, Jiangjie Chen, Xinyao Shen, Yunwen Chen, Yanghua Xiao (2022). FalCon: A Faithful Contrastive Framework for Response Generation in TableQA Systems. In The 27th International Conference on Database Systems for Advanced Applications (DASFAA 2022).

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Jiangjie Chen, Chun Gan, Sijie Cheng, Hao Zhou, Yanghua Xiao, Lei Li (2022). Unsupervised Editing for Counterfactual Stories. In The 36th AAAI Conference on Artificial Intelligence (AAAI 2022) (oral).

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Jiangjie Chen, Qiaoben Bao, Changzhi Sun, Xinbo Zhang, Jiaze Chen, Hao Zhou, Yanghua Xiao, Lei Li (2022). LOREN: Logic-Regularized Reasoning for Interpretable Fact Verification. In The 36th AAAI Conference on Artificial Intelligence (AAAI 2022) (oral).

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Qiaoben Bao, Jiangjie Chen, Linfang Liu, Jiaqing Liang, Jingping Liu, Yanghua Xiao (2022). Harvesting More Answer Spans from Paragraphs beyond Annotation. In The 15th ACM International Conference on Web Search and Data Mining (WSDM 2022).

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Xinyao Shen, Jiangjie Chen, Jiaze Chen, Chun Zeng, Yanghua Xiao (2022). Diversified Query Generation Guided with Knowledge Graph. In The 15th ACM International Conference on Web Search and Data Mining (WSDM 2022).

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Xinyao Shen, Jiangjie Chen, Yanghua Xiao (2021). Diversified Paraphrase Generation with Commonsense Knowledge Graph. In The 10th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC 2021) (oral).

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Changzhi Sun, Xinbo Zhang, Jiangjie Chen, Chun Gan, Yuanbin Wu, Jiaze Chen, Hao Zhou, Lei Li (2021). Probabilistic Graph Reasoning for Natural Proof Generation. In The 59th Annual Meeting of the Association for Computational Linguistics (ACL 2021) - Findings.

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Jiangjie Chen, Ao Wang, Haiyun Jiang, Suo Feng, Chenguang Li, Yanghua Xiao (2019). Ensuring Readability and Data-fidelity using Head-modifier Templates in Deep Type Description Generation. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019).

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Jindong Chen, Ao Wang, Jiangjie Chen, Yanghua Xiao, Zhendong Chu, Jingping Liu, Jiaqing Liang, Wei Wang (2019). CN-Probase: A Data-driven Approach for Large-scale Chinese Taxonomy Construction. In 2019 IEEE 35th International Conference on Data Engineering (ICDE 2019).

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