Jian Guan

Jian Guan 关 健

Empowering the future driven by curiosity.

Beijing, China
Researcher at Ant Group

I currently serve as a researcher at Ant Group (Jul. 2024~), working with Wei Wu. I obtain my bachelor (2015~2019) and Ph.D. (2019~2024) degrees from Tsinghua University, advised by Minlie Huang. I have 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).

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Seeking Self-Motivated Interns

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 fields, we encourage you to contact us. Our institute offers a dynamic and collaborative environment, with opportunities to work alongside experienced researchers and gain hands-on experience in real-world applications. DO NOT miss this chance to grow your skills and make an impact in the field! Contact us today to learn more about available positions.

🏅 Awards

2024

CIPS Doctoral Dissertation Incentive Program

中国中文信息学会博士学位论文激励计划 (Top 10 in China)

2024

Tsinghua University Excellent Doctoral Dissertation

清华大学优秀博士论文

2023

ACL (CCF-A) Area Chair Award

StoryTrans: Non-Parallel Story Author-Style Transfer with Discourse Representations and Content Enhancing

2022

Microsoft Research Asia Fellowship Nomination Award

微软学者提名奖（Top 33 in Asia）

2022

National Scholarship for Doctoral Students

国家奖学金

2019

Excellent Graduate in Beijing

北京市优秀毕业生

2019

Outstanding Graduate in Tsinghua University

清华大学优良毕业生

Research & Publications

* indicates equal contribution; † indicates corresponding author(s)

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Advanced Reasoning

Advancing reasoning capabilities in large (vision-)language models for complex problem solving

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Personalized Alignment

Aligning AI systems with individual human preferences and values

Survey
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Natural Language Generation

Natural language generation for open-ended tasks and comprehensive evaluation methodologies

Must-read paper list
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Efficient Foundation Models

Developing efficient architectures and training methods for large-scale foundation models

Reinforcing Spatial Reasoning in Vision-Language Models with Interwoven Thinking and Visual Drawing
Junfei Wu*, Jian Guan*, Kaituo Feng, Qiang Liu, Shu Wu, Liang Wang, Wei Wu, Tieniu Tan, Lingpeng Kong
arXiv preprint 2025
PDF Code
Promptcot: Synthesizing olympiad-level problems for mathematical reasoning in large language models
Xueliang Zhao, Wei Wu, Jian Guan, Lingpeng Kong
Findings of ACL 2025
PDF Code
Unlocking Reasoning Potential in Large Langauge Models by Scaling Code-form Planning
Jiaxin Wen*, Jian Guan*, Hongning Wang, Wei Wu, Minlie Huang
ICLR 2025
PDF Data
2D-TPE: Two-Dimensional Positional Encoding Enhances Table Understanding for Large Language Models
Jia-Nan Li*, Jian Guan*, Wei Wu, Zhengtao Yu, Rui Yan
WWW 2025
PDF
AMOR: A Recipe for Building Adaptable Modular Knowledge Agents Through Process Feedback
Jian Guan, Wei Wu, Zujie Wen, Peng Xu, Hongning Wang, Minlie Huang
NeurIPS 2024
PDF
From the Least to the Most: Building a Plug-and-Play Visual Reasoner via Data Synthesis
Chuanqi Cheng*, Jian Guan*, Wei Wu, Rui Yan
EMNLP 2024
PDF
A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation
Xueying Bai*, Jian Guan*, Hongning Wang
NeurIPS 2019
PDF Code
Extended Inductive Reasoning for Personalized Preference Inference from Behavioral Signals
Jia-Nan Li*, Jian Guan*, Wei Wu, Rui Yan
arXiv preprint 2025
PDF Code
From 1,000,000 users to every user: Scaling up personalized preference for user-level alignment
Jia-Nan Li*, Jian Guan*, Songhao Wu, Wei Wu, Rui Yan
arXiv preprint 2025
PDF Data
A Survey on Personalized Alignment--The Missing Piece for Large Language Models in Real-World Applications
Jian Guan, Junfei Wu, Jia-Nan Li, Chuanqi Cheng, Wei Wu
Findings of ACL 2025
PDF
Latent Preference Coding: Aligning Large Language Models via Discrete Latent Codes
Zhuocheng Gong, Jian Guan, Wei Wu, Huishuai Zhang, Dongyan Zhao
ICML 2025
PDF
Human decision-making is susceptible to ai-driven manipulation
Sahand Sabour, June M Liu, Siyang Liu, Chris Z Yao, Shiyao Cui, Xuanming Zhang, Wen Zhang, Yaru Cao, Advait Bhat, Jian Guan, Wei Wu, Rada Mihalcea, Hongning Wang, Tim Althoff, Tatia Lee, Minlie Huang
arXiv preprint 2025
PDF
Language Models Hallucinate, but May Excel at Fact Verification
Jian Guan, Jesse Dodge, David Wadden, Minlie Huang, Hao Peng
NAACL 2024
PDF Code
Re3Dial: Retrieve, Reorganize and Rescale Conversations for Long-Turn Open-Domain Dialogue Pre-training
Jiaxin Wen, Hao Zhou, Jian Guan, Jie Zhou, Minlie Huang
EMNLP 2023
PDF
Mitigating the Learning Bias towards Repetition by Self-Contrastive Training for Open-Ended Generation
Jian Guan, Minlie Huang
Findings of ACL 2023 (Short Paper)
PDF Code
Self-Supervised Sentence Polishing by Adding Engaging Modifiers
Zhexin Zhang, Jian Guan, Xin Cui, Yu Ran, Bo Liu and Minlie Huang
ACL 2023 (Demo)
StoryTrans: Non-Parallel Story Author-Style Transfer with Discourse Representations and Content Enhancing
Xuekai Zhu*, Jian Guan*, Minlie Huang, Juan Liu
ACL 2023
PDF Code 🏅 Area Chair Award
Generating Coherent Narratives by Learning Dynamic and Discrete Entity States with a Contrastive Framework
Jian Guan, Zhenyu Yang, Rongsheng Zhang, Zhipeng Hu, Minlie Huang
AAAI 2023
PDF Code
Automatic Comment Generation for Chinese Student Narrative Essays
Zhexin Zhang*, Jian Guan*, Guowei Xu, Yixiang Tian, Minlie Huang
EMNLP 2022 (Demo)
PDF Code
A Corpus for Understanding and Generating Moral Stories
Jian Guan, Ziqi Liu, Minlie Huang
NAACL 2022
PDF Data
Persona-Guided Planning for Controlling the Protagonist's Persona in Story Generation
Jiaxin Wen, Zhexin Zhang, Jian Guan, Minlie Huang
NAACL 2022
PDF Code
LOT: A Story-Centric Benchmark for Evaluating Chinese Long Text Understanding and Generation
Jian Guan, Zhuoer Feng, Yamei Chen, Ruilin He, Xiaoxi Mao, Changjie Fan, Minlie Huang
TACL 2022
PDF Code
A Benchmark for Understanding and Generating Dialogue between Characters in Stories
Jianzhu Yao, Ziqi Liu, Jian Guan, Minlie Huang
arXiv preprint 2022
PDF
OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics
Jian Guan, Zhexin Zhang, Zhuoer Feng, Zitao Liu, Wenbiao Ding, Xiaoxi Mao, Changjie Fan, Minlie Huang
ACL 2021
PDF Toolkit
Long Text Generation by Modeling Sentence-Level and Discourse-Level Coherence
Jian Guan, Xiaoxi Mao, changjie fan, Zitao Liu, Wenbiao Ding, Minlie Huang
ACL 2021
PDF Code
Stylized Story Generation with Style-Guided Planning
Xiangzhe Kong, Jialiang Huang, Ziquan Tung, Jian Guan and Minlie Huang
Findings of ACL 2021
PDF Code
CUGE: A chinese language understanding and generation evaluation benchmark
Yuan Yao, Qingxiu Dong, Jian Guan, et al.
arXiv preprint 2021
PDF
A Text GAN for Language Generation with Non-Autoregressive Generator
Fei Huang, Jian Guan, Pei Ke, Qihan Guo, Xiaoyan Zhu, Minlie Huang
arXiv preprint 2020
PDF
UNION: An Unreferenced Metric for Evaluating Open-ended Story Generation
Jian Guan, Minlie Huang
EMNLP 2020
PDF Code
A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation
Jian Guan, Fei Huang, Zhihao Zhao, Xiaoyan Zhu, Minlie Huang
TACL 2020
PDF Code Demo
CoTK: An Open-Source Toolkit for Fast Development and Fair Evaluation of Text Generation
Fei Huang, Dazhen Wan, Zhihong Shao, Pei Ke, Jian Guan, Yilin Niu, Xiaoyan Zhu, Minlie Huang
arXiv preprint 2020
PDF Code
Story ending generation with incremental encoding and commonsense knowledge
Jian Guan*, Yansen Wang*, Minlie Huang
AAAI 2019
PDF Code
Generating informative responses with controlled sentence function
Pei Ke, Jian Guan, Minlie Huang, Xiaoyan Zhu
ACL 2018
PDF Code
Scaling Video-Language Models to 10K Frames via Hierarchical Differential Distillation
Chuanqi Cheng*, Jian Guan*, Wei Wu, Rui Yan
ICML 2025
PDF Code 🏅 7B SOTA LVLM on VideoMME
Theoretical Benefit and Limitation of Diffusion Language Model
Guhao Feng, Yihan Geng, Jian Guan, Wei Wu, Liwei Wang, Di He
arXiv preprint 2025
PDF
Mixture-of-Modules: Reinventing Transformers as Dynamic Assemblies of Modules
Zhuocheng Gong*, Ang Lv*, Jian Guan†, Junxi Yan, Wei Wu, Huishuai Zhang, Minlie Huang, Dongyan Zhao, Rui Yan
EMNLP 2024
PDF
CPM-2: Large-scale Cost-efficient Pre-trained Language Models
Zhengyan Zhang, Yuxian Gu, Xu Han, Shengqi Chen, Chaojun Xiao, Zhenbo Sun, Yuan Yao, Fanchao Qi, Jian Guan, et al.
AI Open 2021
PDF Code
CPM: A Large-scale Generative Chinese Pre-trained Language Model
Zhengyan Zhang, Xu Han, Hao Zhou, Pei Ke, Yuxian Gu, Deming Ye, Yujia Qin, YuSheng Su, Haozhe Ji, Jian Guan, et al.
AI Open 2021
PDF Code

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