Jian Guan

Jian Guan

Empowering the future driven by curiosity.

Jian Guan 关 健

Jian Guan currently serves as a researcher at Ant Group, working with Wei Wu. He obtained his bachelor and Ph.D. degrees from Tsinghua University, advised by Minlie Huang. Jian has also interned at various institutions, including the Allen Institute for Artificial Intelligence in Seattle with the supervision of Hao Peng and Jesse Dodge (Jan.~Jun., 2023) and the University of Virginia with the supervision of Hongning Wang (Jul.~Sep., 2018). Here are his cv and 简历.

His research interests include:

  • Open-ended NLG and Evaluation [must-read paper list]
  • Efficient Foundation Models
  • LLM-based Complex Reasoning
  • Alignment with Human Prefernece

🚀 🚀 🚀 We are currently seeking self-motivated interns to join our team at the Ant Group. If you are interested in working on cutting-edge research in the above research fileds, we encourage you to apply. Our institute offers a dynamic and collaborative environment, with opportunities to work alongside experienced researchers and gain hands-on experience in real-world applications. Don’t miss this chance to grow your skills and make an impact in the field! Contact us today to learn more about available positions.

Main Publications

* indicates equal contribution; $\dagger$ indicates corresponding author(s)

  1. Jian Guan, Wei Wu, Zujie Wen, Peng Xu, Hongning Wang, Minlie Huang. AMOR: A Recipe for Building Adaptable Modular Knowledge Agents Through Process Feedback. NeurIPS 2024. [pdf]
  2. Zhuocheng Gong*, Ang Lv*, Jian Guan$^\dagger$, Junxi Yan, Wei Wu, Huishuai Zhang, Minlie Huang, Dongyan Zhao, Rui Yan. Mixture-of-Modules: Reinventing Transformers as Dynamic Assemblies of Modules. EMNLP 2024. [pdf]
  3. Chuanqi Cheng*, Jian Guan*, Wei Wu, Rui Yan. From the Least to the Most: Building a Plug-and-Play Visual Reasoner via Data Synthesis. EMNLP 2024. [pdf]
  4. Jian Guan, Jesse Dodge, David Wadden, Minlie Huang, Hao Peng. Language Models Hallucinate, but May Excel at Fact Verification. NAACL 2024. [pdf] [code]
  5. Jiaxin Wen, Hao Zhou, Jian Guan, Jie Zhou, Minlie Huang. Re3Dial: Retrieve, Reorganize and Rescale Conversations for Long-Turn Open-Domain Dialogue Pre-training. EMNLP 2023. [pdf]
  6. Jian Guan, Minlie Huang. Mitigating the Learning Bias towards Repetition by Self-Contrastive Training for Open-Ended Generation. Findings of ACL 2023 (Short Paper). [pdf] [code]
  7. Xuekai Zhu*, Jian Guan*, Minlie Huang, Juan Liu. StoryTrans: Non-Parallel Story Author-Style Transfer with Discourse Representations and Content Enhancing. ACL 2023. [Area Chair Award] 🏅
  8. Zhexin Zhang, Jian Guan, Xin Cui, Yu Ran, Bo Liu and Minlie Huang. Self-Supervised Sentence Polishing by Adding Engaging Modifiers. ACL 2023 (Demo).
  9. Jian Guan, Zhenyu Yang, Rongsheng Zhang, Zhipeng Hu, Minlie Huang. Generating Coherent Narratives by Learning Dynamic and Discrete Entity States with a Contrastive Framework. AAAI 2023. [pdf] [code]
  10. Zhexin Zhang*, Jian Guan*, Guowei Xu, Yixiang Tian, Minlie Huang. Automatic Comment Generation for Chinese Student Narrative Essays. EMNLP 2022 (Demo). [pdf] [code]
  11. Jian Guan, Ziqi Liu, Minlie Huang. A Corpus for Understanding and Generating Moral Stories. NAACL 2022. [pdf] [data]
  12. Jiaxin Wen, Zhexin Zhang, Jian Guan, Minlie Huang. Persona-Guided Planning for Controlling the Protagonist’s Persona in Story Generation. NAACL 2022. [pdf] [code]
  13. Jian Guan, Zhuoer Feng, Yamei Chen, Ruilin He, Xiaoxi Mao, Changjie Fan, Minlie Huang. LOT: A Story-Centric Benchmark for Evaluating Chinese Long Text Understanding and Generation. TACL 2022. [pdf] [code]
  14. Jian Guan, Zhexin Zhang, Zhuoer Feng, Zitao Liu, Wenbiao Ding, Xiaoxi Mao, Changjie Fan, Minlie Huang. OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics. ACL 2021. [pdf] [toolkit]
  15. Jian Guan, Xiaoxi Mao, changjie fan, Zitao Liu, Wenbiao Ding, Minlie Huang. Long Text Generation by Modeling Sentence-Level and Discourse-Level Coherence. ACL 2021. [pdf] [code]
  16. Zhengyan Zhang, Yuxian Gu, Xu Han, Shengqi Chen, Chaojun Xiao, Zhenbo Sun, Yuan Yao, Fanchao Qi, Jian Guan, et al. CPM-2: Large-scale Cost-efficient Pre-trained Language Models. AI Open 2021. [pdf] [code]
  17. Zhengyan Zhang, Xu Han, Hao Zhou, Pei Ke, Yuxian Gu, Deming Ye, Yujia Qin, YuSheng Su, Haozhe Ji, Jian Guan, et al. CPM: A Large-scale Generative Chinese Pre-trained Language Model. AI Open 2021. [pdf] [code]
  18. Xiangzhe Kong, Jialiang Huang, Ziquan Tung, Jian Guan and Minlie Huang. Stylized Story Generation with Style-Guided Planning. Findings of ACL 2021. [pdf] [code]
  19. Jian Guan, Minlie Huang. UNION: An Unreferenced Metric for Evaluating Open-ended Story Generation. EMNLP 2020. [pdf] [code] [bib]
  20. Jian Guan, Fei Huang, Zhihao Zhao, Xiaoyan Zhu, Minlie Huang. A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation. TACL 2020. [pdf] [code] [demo] [bib]
  21. Xueying Bai*, Jian Guan*, Hongning Wang. A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation. NeurIPS 2019. [pdf] [code] [bib]
  22. Jian Guan*, Yansen Wang*, Minlie Huang. Story ending generation with incremental encoding and commonsense knowledge. AAAI 2019. [pdf] [code] [bib]
  23. Pei Ke, Jian Guan, Minlie Huang, Xiaoyan Zhu. Generating informative responses with controlled sentence function. ACL 2018. [pdf] [code] [bib]

Preprints

  1. Jiaxin Wen*, Jian Guan*, Hongning Wang, Wei Wu, Minlie Huang. Unlocking Reasoning Potential in Large Langauge Models by Scaling Code-form Planning. [pdf] [data]
  2. Jia-Nan Li*, Jian Guan*, Wei Wu, Zhengtao Yu, Rui Yan. 2D-TPE: Two-Dimensional Positional Encoding Enhances Table Understanding for Large Language Models. [pdf]
  3. Jianzhu Yao, Ziqi Liu, Jian Guan, Minlie Huang. A Benchmark for Understanding and Generating Dialogue between Characters in Stories. arxiv preprint 2022. [pdf]
  4. Yuan Yao, Qingxiu Dong, Jian Guan, Boxi Cao, Zhengyan Zhang, Chaojun Xiao, Xiaozhi Wang, Fanchao Qi, Junwei Bao, Jinran Nie, Zheni Zeng, Yuxian Gu, Kun Zhou, Xuancheng Huang, Wenhao Li, Shuhuai Ren, Jinliang Lu, Chengqiang Xu, Huadong Wang, Guoyang Zeng, Zile Zhou, Jiajun Zhang, Juanzi Li, Minlie Huang, Rui Yan, Xiaodong He, Xiaojun Wan, Xin Zhao, Xu Sun, Yang Liu, Zhiyuan Liu, Xianpei Han, Erhong Yang, Zhifang Sui, Maosong Sun. CUGE: A chinese language understanding and generation evaluation benchmark. arxiv preprint2021. [pdf]
  5. Fei Huang, Jian Guan, Pei Ke, Qihan Guo, Xiaoyan Zhu, Minlie Huang. A Text GAN for Language Generation with Non-Autoregressive Generator. OpenReview preprint 2021.[pdf]
  6. Fei Huang, Dazhen Wan, Zhihong Shao, Pei Ke, Jian Guan, Yilin Niu, Xiaoyan Zhu, Minlie Huang. CoTK: An Open-Source Toolkit for Fast Development and Fair Evaluation of Text Generation. arXiv preprint 2020. [pdf] [code]

Services

  1. Organizer: NLGIW 2022技术评测任务二：基于大纲的条件故事生成

Teaching

He was a TA for the following undergraduate courses:

  • Artificial Neural Network (2019 Fall, 2020 Fall, 2021 Fall)
  • Object-Oriented Programming (2019 Spring, 2020 Spring, 2021 Spring, 2022 Spring)