Publications

ByteDance Seed (2025). Seed-Thinking-v1.5: Advancing Superb Reasoning Models with Reinforcement Learning. Technical Report.

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Qiying Yu, Zheng Zhang, Ruofei Zhu, Yufeng Yuan, Xiaochen Zuo, Yu Yue, Tiantian Fan, Gaohong Liu, Lingjun Liu, Xin Liu, Haibin Lin, Zhiqi Lin, Bole Ma, Guangming Sheng, Yuxuan Tong, Chi Zhang, Mofan Zhang, Wang Zhang, Hang Zhu, Jinhua Zhu, Jiaze Chen, Jiangjie Chen, Chengyi Wang, Hongli Yu, Weinan Dai, Yuxuan Song, Xiangpeng Wei, Hao Zhou, Jingjing Liu, Wei-Ying Ma, Ya-Qin Zhang, Lin Yan, Mu Qiao, Yonghui Wu, Mingxuan Wang (2025). DAPO: An Open-source LLM Reinforcement Learning System At Scale. Preprint.

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Lida Chen, Dong Xu, Chenxin An, Xintao Wang, Yikai Zhang, Jiangjie Chen, Zujie Liang, Feng Wei, Jiaqing Liang, Yanghua Xiao, Wei Wang (2025). PowerAttention: Exponentially Scaling of Receptive Fields for Effective Sparse Attention. Preprint.

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Aili Chen, Chengyu Du, Jiangjie Chen, Jinghan Xu, Yikai Zhang, Siyu Yuan, Zulong Chen, Liangyue Li, Yanghua Xiao (2025). DEEPER Insight into Your User: Directed Persona Refinement for Dynamic Persona Modeling. Preprint.

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Xintao Wang, Heng Wang, Yifei Zhang, Xinfeng Yuan, Rui Xu, Jen-Tse Huang, Siyu Yuan, Haoran Guo, Jiangjie Chen, Wei Wang, Yanghua Xiao, Shuchang Zhou (2025). CoSER: Coordinating LLM-Based Persona Simulation of Established Roles. Preprint.

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Ruihan Yang, Jiangjie Chen, Yikai Zhang, Siyu Yuan, Aili Chen, Kyle Richardson, Yanghua Xiao, Deqing Yang (2025). SelfGoal: Your Language Agents Already Know How to Achieve High-level Goals. In 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL 2025).

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Jian Xie, Kexun Zhang, Jiangjie Chen, Siyu Yuan, Kai Zhang, Yikai Zhang, Lei Li, Yanghua Xiao (2025). Revealing the Barriers of Language Agents in Planning. In 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL 2025).

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Siyu Yuan, Kaitao Song, Jiangjie Chen, Xu Tan, Dongsheng Li, Deqing Yang (2025). EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms. In 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL 2025).

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Siyu Yuan, Kaitao Song, Jiangjie Chen, Xu Tan, Yongliang Shen, Ren Kan, Dongsheng Li, Deqing Yang (2025). EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction. In 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL 2025).

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Wei Shi, Shuang Li, Kerun Yu, Jinglei Chen, Zujie Liang, Xinhui Wu, Yuxi Qian, Feng Wei, Bo Zheng, Jiaqing Liang, Jiangjie Chen, Yanghua Xiao (2024). SEGMENT+: Long Text Processing with Short-Context Language Models. In The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024).

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Nianqi Li, Siyu Yuan, Jiangjie Chen, Jiaqing Liang, Feng Wei, Zujie Liang, Deqing Yang, Yanghua Xiao (2024). Past Meets Present: Creating Historical Analogy with Large Language Models. Preprint.

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Aili Chen, Xuyang Ge, Ziquan Fu, Yanghua Xiao, Jiangjie Chen (2024). TravelAgent: An AI Assistant for Personalized Travel Planning. Preprint.

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Siye Wu, Jian Xie, Jiangjie Chen, Tinghui Zhu, Kai Zhang, Yanghua Xiao (2024). How Easily do Irrelevant Inputs Skew the Responses of Large Language Models?. In The 1st Conference on Language Modeling (COLM 2024).

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Zhouhong Gu, Lin Zhang, Xiaoxuan Zhu, Jiangjie Chen, Wenhao Huang, Yikai Zhang, Shusen Wang, Zheyu Ye, Yan Gao, Hongwei Feng, Yanghua Xiao (2024). DetectBench: Can Large Language Model Detect and Piece Together Implicit Evidence?. In The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024) - Findings.

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Xinfeng Yuan, Siyu Yuan, Yuhan Cui, Tianhe Lin, Xintao Wang, Rui Xu, Jiangjie Chen, Deqing Yang (2024). Evaluating Character Understanding of Large Language Models via Character Profiling from Fictional Works. In The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024).

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Jiangjie Chen, Xintao Wang, Rui Xu, Siyu Yuan, Yikai Zhang, Wei Shi, Jian Xie, Shuang Li, Ruihan Yang, Tinghui Zhu, Aili Chen, Nianqi Li, Lida Chen, Caiyu Hu, Siye Wu, Scott Ren, Ziquan Fu, Yanghua Xiao (2024). From Persona to Personalization: A Survey on Role-Playing Language Agents. TMLR 2024.

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Rui Xu, Xintao Wang, Jiangjie Chen, Siyu Yuan, Xinfeng Yuan, Jiaqing Liang, Zulong Chen, Xiaoqing Dong, Yanghua Xiao (2024). Character is Destiny: Can Large Language Models Simulate Persona-Driven Decisions in Role-Playing?. Preprint.

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Xintao Wang, Jiangjie Chen, Nianqi Li, Lida Chen, Xinfeng Yuan, Wei Shi, Xuyang Ge, Rui Xu, Yanghua Xiao (2024). SurveyAgent: A Conversational System for Personalized and Efficient Research Survey. Preprint.

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Zhouhong Gu, Xiaoxuan Zhu, Haoran Guo, Lin Zhang, Yin Cai, Hao Shen, Jiangjie Chen, Zheyu Ye, Yifei Dai, Yan Gao, Yao Hu, Hongwei Feng, Yanghua Xiao (2024). Agent Group Chat: An Interactive Group Chat Simulacra For Better Eliciting Collective Emergent Behavior. Preprint.

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Yikai Zhang, Siyu Yuan, Caiyu Hu, Kyle Richardson, Yanghua Xiao, Jiangjie Chen (2024). TimeArena: Shaping Efficient Multitasking Language Agents in a Time-Aware Simulation. The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024).

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Xintao Wang, Yunze Xiao, Jen-Tse Huang, Siyu Yuan, Rui Xu, Haoran Guo, Quan Tu, Yaying Fei, Ziang Leng, Wei Wang, Jiangjie Chen, Cheng Li, Yanghua Xiao (2024). InCharacter: Evaluating Personality Fidelity in Role-Playing Agents through Psychological Interviews. The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024).

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Jiayi Fu, Xuandong Zhao, Ruihan Yang, Yuansen Zhang, Jiangjie Chen, Yanghua Xiao (2024). GumbelSoft: Diversified Language Model Watermarking via the GumbelMax-trick. The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024).

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Jian Xie, Kai Zhang, Jiangjie Chen, Tinghui Zhu, Renze Lou, Yuandong Tian, Yanghua Xiao, Yu Su (2024). TravelPlanner: A Benchmark for Real-World Planning with Language Agents. In The Forty-first International Conference on Machine Learning (ICML 2024), Spotlight.

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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. In NeurIPS 2024 Workshop on Open-World Agents.

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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. In The 38th AAAI Conference on Artificial Intelligence (AAAI 2024).

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Jian Xie, Kai Zhang, Jiangjie Chen, Renze Lou, Yu Su (2023). Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts. In The Twelfth International Conference on Learning Representations (ICLR 2024), Spotlight.

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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. The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024).

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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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