Xiusi Chen

85 papers A* 13A 9Journal 49Unranked 13
YearRankTypeTitle / Venue / Authors
2026 — conf
Beyond Sample-Level Feedback: Using Reference-Level Feedback to Guide Data Synthesis.
EACL (Volume 1: Long Papers)
Shuhaib Mehri, Xiusi Chen, Heng Ji, Dilek Hakkani-Tür
2026 J jnl
Current Agents Fail to Leverage World Model as Tool for Foresight.
CoRR
Chen Qian, Emre Can Acikgoz, Bingxuan Li, Xiusi Chen, Yuji Zhang, Bingxiang He, Qinyu Luo, Dilek Hakkani-Tür, Gokhan Tur, Yunzhu Li, Heng Ji
2026 J jnl
Decoding the Critique Mechanism in Large Reasoning Models.
CoRR
Hoang Phan, Quang H. Nguyen, Hung T. Q. Le, Xiusi Chen, Heng Ji, Khoa D. Doan
2026 J jnl
How Far Can Unsupervised RLVR Scale LLM Training?
CoRR
Bingxiang He, Yuxin Zuo, Zeyuan Liu, Shangziqi Zhao, Zixuan Fu, Junlin Yang, Cheng Qian, Kaiyan Zhang, Yuchen Fan, Ganqu Cui, Xiusi Chen, Youbang Sun, Xingtai Lv, Xuekai Zhu, Li Sheng, Ran Li, Huan-ang Gao, Yuchen Zhang, Bowen Zhou, Zhiyuan Liu, Ning Ding
2026 J jnl
PEARL: Self-Evolving Assistant for Time Management with Reinforcement Learning.
CoRR
Bingxuan Li, Jeonghwan Kim, Cheng Qian, Xiusi Chen, Eitan Anzenberg, Niran Kundapur, Heng Ji
2026 J jnl
Why Reasoning Fails to Plan: A Planning-Centric Analysis of Long-Horizon Decision Making in LLM Agents.
CoRR
Zehong Wang, Fang Wu, Hongru Wang, Xiangru Tang, Bolian Li, Zhenfei Yin, Yijun Ma, Yiyang Li, Weixiang Sun, Xiusi Chen, Yanfang Ye
2025 J jnl
A Desideratum for Conversational Agents: Capabilities, Challenges, and Future Directions.
CoRR
Emre Can Acikgoz, Cheng Qian, Hongru Wang, Vardhan Dongre, Xiusi Chen, Heng Ji, Dilek Hakkani-Tür, Gokhan Tur
2025 — conf
A Roadmap for Alignable Algorithmic Decision-Makers in the Medical Triage Domain.
CAI
Brian Hu, David Chan, Taylor Sorensen, Xiusi Chen, Heng Ji, Yejin Choi, Trevor Darrell, Arslan Basharat
2025 J jnl
Autonomous Agents for Scientific Discovery: Orchestrating Scientists, Language, Code, and Physics.
CoRR
Lianhao Zhou, Hongyi Ling, Cong Fu, Yepeng Huang, Michael Sun, Wendi Yu, Xiaoxuan Wang, Xiner Li, Xingyu Su, Junkai Zhang, Xiusi Chen, Chenxing Liang, Xiaofeng Qian, Heng Ji, Wei Wang, Marinka Zitnik, Shuiwang Ji
2025 A conf
Beyond Answers: Transferring Reasoning Capabilities to Smaller LLMs Using Multi-Teacher Knowledge Distillation.
WSDM
Yijun Tian, Yikun Han, Xiusi Chen, Wei Wang, Nitesh V. Chawla
2025 J jnl
Beyond Log Likelihood: Probability-Based Objectives for Supervised Fine-Tuning across the Model Capability Continuum.
CoRR
Gaotang Li, Ruizhong Qiu, Xiusi Chen, Heng Ji, Hanghang Tong
2025 J jnl
Beyond Sample-Level Feedback: Using Reference-Level Feedback to Guide Data Synthesis.
CoRR
Shuhaib Mehri, Xiusi Chen, Heng Ji, Dilek Hakkani-Tür
2025 A* conf
Chain-of-Factors Paper-Reviewer Matching.
WWW
Yu Zhang, Yanzhen Shen, SeongKu Kang, Xiusi Chen, Bowen Jin, Jiawei Han
2025 — conf
DecisionFlow: Advancing Large Language Model as Principled Decision Maker.
EMNLP (Findings)
Xiusi Chen, Shanyong Wang, Cheng Qian, Hongru Wang, Peixuan Han, Heng Ji
2025 J jnl
DecisionFlow: Advancing Large Language Model as Principled Decision Maker.
CoRR
Xiusi Chen, Shanyong Wang, Cheng Qian, Hongru Wang, Peixuan Han, Heng Ji
2025 — conf
EscapeBench: Towards Advancing Creative Intelligence of Language Model Agents.
ACL (1)
Cheng Qian, Peixuan Han, Qinyu Luo, Bingxiang He, Xiusi Chen, Yuji Zhang, Hongyi Du, Jiarui Yao, Xiaocheng Yang, Denghui Zhang, Yunzhu Li, Heng Ji
2025 J jnl
Graph Foundation Models: A Comprehensive Survey.
CoRR
Zehong Wang, Zheyuan Liu, Tianyi Ma, Jiazheng Li, Zheyuan Zhang, Xingbo Fu, Yiyang Li, Zhengqing Yuan, Wei Song, Yijun Ma, Qingkai Zeng, Xiusi Chen, Jianan Zhao, Jundong Li, Meng Jiang, Pietro Lio, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye
2025 J jnl
Internal Activation as the Polar Star for Steering Unsafe LLM Behavior.
CoRR
Peixuan Han, Cheng Qian, Xiusi Chen, Yuji Zhang, Denghui Zhang, Heng Ji
2025 A* conf
Large Scale Knowledge Washing.
ICLR
Yu Wang, Ruihan Wu, Zexue He, Xiusi Chen, Julian J. McAuley
2025 — conf
ModelingAgent: Bridging LLMs and Mathematical Modeling for Real-World Challenges.
EMNLP (Findings)
Cheng Qian, Hongyi Du, Hongru Wang, Xiusi Chen, Yuji Zhang, Avirup Sil, ChengXiang Zhai, Kathleen McKeown, Heng Ji
2025 J jnl
ModelingAgent: Bridging LLMs and Mathematical Modeling for Real-World Challenges.
CoRR
Cheng Qian, Hongyi Du, Hongru Wang, Xiusi Chen, Yuji Zhang, Avirup Sil, ChengXiang Zhai, Kathleen McKeown, Heng Ji
2025 J jnl
OTC: Optimal Tool Calls via Reinforcement Learning.
CoRR
Hongru Wang, Cheng Qian, Wanjun Zhong, Xiusi Chen, Jiahao Qiu, Shijue Huang, Bowen Jin, Mengdi Wang, Kam-Fai Wong, Heng Ji
2025 J jnl
Perception-Aware Policy Optimization for Multimodal Reasoning.
CoRR
Zhenhailong Wang, Xuehang Guo, Sofia Stoica, Haiyang Xu, Hongru Wang, Hyeonjeong Ha, Xiusi Chen, Yangyi Chen, Ming Yan, Fei Huang, Heng Ji
2025 — conf
Profiling LLM's Copyright Infringement Risks under Adversarial Persuasive Prompting.
EMNLP (Findings)
Jikai Long, Ming Liu, Xiusi Chen, Jialiang Xu, Shenglan Li, Zhaozhuo Xu, Denghui Zhang
2025 J jnl
RM-R1: Reward Modeling as Reasoning.
CoRR
Xiusi Chen, Gaotang Li, Ziqi Wang, Bowen Jin, Cheng Qian, Yu Wang, Hongru Wang, Yu Zhang, Denghui Zhang, Tong Zhang, Hanghang Tong, Heng Ji
2025 — conf
SKnow-LLM Workshop: Structured Knowledge for Large Language Models.
KDD (2)
Qi Zhu, Xiusi Chen, Yu Zhang, Soji Adeshina, Costas Mavromatis, Zhen Han, Vassilis N. Ioannidis, Leman Akoglu, Danai Koutra, Huzefa Rangwala
2025 — conf
SMART: Self-Aware Agent for Tool Overuse Mitigation.
ACL (Findings)
Cheng Qian, Emre Can Acikgoz, Hongru Wang, Xiusi Chen, Avirup Sil, Dilek Hakkani-Tür, Gokhan Tur, Heng Ji
2025 J jnl
SMART: Self-Aware Agent for Tool Overuse Mitigation.
CoRR
Cheng Qian, Emre Can Acikgoz, Hongru Wang, Xiusi Chen, Avirup Sil, Dilek Hakkani-Tür, Gokhan Tur, Heng Ji
2025 — conf
SafeSwitch: Steering Unsafe LLM Behavior via Internal Activation Signals.
EMNLP (Findings)
Peixuan Han, Cheng Qian, Xiusi Chen, Yuji Zhang, Heng Ji, Denghui Zhang
2025 A* conf
Self-Updatable Large Language Models by Integrating Context into Model Parameters.
ICLR
Yu Wang, Xinshuang Liu, Xiusi Chen, Sean O'Brien, Junda Wu, Julian J. McAuley
2025 — conf
Semi-supervised Fine-tuning for Large Language Models.
NAACL (Findings)
Junyu Luo, Xiao Luo, Xiusi Chen, Zhiping Xiao, Wei Ju, Ming Zhang
2025 A* conf
Strategist: Self-improvement of LLM Decision Making via Bi-Level Tree Search.
ICLR
Jonathan Light, Min Cai, Weiqin Chen, Guanzhi Wang, Xiusi Chen, Wei Cheng, Yisong Yue, Ziniu Hu
2025 J jnl
ToolRL: Reward is All Tool Learning Needs.
CoRR
Cheng Qian, Emre Can Acikgoz, Qi He, Hongru Wang, Xiusi Chen, Dilek Hakkani-Tür, Gokhan Tur, Heng Ji
2025 J jnl
Towards LifeSpan Cognitive Systems.
Trans. Mach. Learn. Res.
Yu Wang, Chi Han, Tongtong Wu, Xiaoxin He, Wangchunshu Zhou, Nafis Sadeq, Xiusi Chen, Zexue He, Wei Wang, Gholamreza Haffari, Heng Ji, Julian J. McAuley
2025 J jnl
Veri-R1: Toward Precise and Faithful Claim Verification via Online Reinforcement Learning.
CoRR
Qi He, Cheng Qian, Xiusi Chen, Bingxiang He, Yi R. Fung, Heng Ji
2024 A* conf
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery.
EMNLP
Yu Zhang, Xiusi Chen, Bowen Jin, Sheng Wang, Shuiwang Ji, Wei Wang, Jiawei Han
2024 J jnl
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery.
CoRR
Yu Zhang, Xiusi Chen, Bowen Jin, Sheng Wang, Shuiwang Ji, Wei Wang, Jiawei Han
2024 J jnl
Bridging Language and Items for Retrieval and Recommendation.
CoRR
Yupeng Hou, Jiacheng Li, Zhankui He, An Yan, Xiusi Chen, Julian J. McAuley
2024 — conf
Data Science Tasks Implemented with Scripts versus GUI-Based Workflows: The Good, the Bad, and the Ugly.
ICDEW
Alexander K. Taylor, Yicong Huang, Junheng Hao, Xinyuan Lin, Xiusi Chen, Wei Wang, Chen Li
2024 J jnl
Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting.
IEEE Trans. Knowl. Data Eng.
Jinliang Deng, Xiusi Chen, Renhe Jiang, Du Yin, Yi Yang, Xuan Song, Ivor W. Tsang
2024 J jnl
EscapeBench: Pushing Language Models to Think Outside the Box.
CoRR
Cheng Qian, Peixuan Han, Qinyu Luo, Bingxiang He, Xiusi Chen, Yuji Zhang, Hongyi Du, Jiarui Yao, Xiaocheng Yang, Denghui Zhang, Yunzhu Li, Heng Ji
2024 — conf
IterAlign: Iterative Constitutional Alignment of Large Language Models.
NAACL-HLT
Xiusi Chen, Hongzhi Wen, Sreyashi Nag, Chen Luo, Qingyu Yin, Ruirui Li, Zheng Li, Wei Wang
2024 J jnl
IterAlign: Iterative Constitutional Alignment of Large Language Models.
CoRR
Xiusi Chen, Hongzhi Wen, Sreyashi Nag, Chen Luo, Qingyu Yin, Ruirui Li, Zheng Li, Wei Wang
2024 A* conf
Language Models as Semantic Indexers.
ICML
Bowen Jin, Hansi Zeng, Guoyin Wang, Xiusi Chen, Tianxin Wei, Ruirui Li, Zhengyang Wang, Zheng Li, Yang Li, Hanqing Lu, Suhang Wang, Jiawei Han, Xianfeng Tang
2024 J jnl
Large Scale Knowledge Washing.
CoRR
Yu Wang, Ruihan Wu, Zexue He, Xiusi Chen, Julian J. McAuley
2024 A* conf
MEMORYLLM: Towards Self-Updatable Large Language Models.
ICML
Yu Wang, Yifan Gao, Xiusi Chen, Haoming Jiang, Shiyang Li, Jingfeng Yang, Qingyu Yin, Zheng Li, Xian Li, Bing Yin, Jingbo Shang, Julian J. McAuley
2024 J jnl
MEMORYLLM: Towards Self-Updatable Large Language Models.
CoRR
Yu Wang, Xiusi Chen, Jingbo Shang, Julian J. McAuley
2024 — conf
MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering.
ACL (1)
Xiusi Chen, Jyun-Yu Jiang, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Wei Wang
2024 — —
One Step towards Autonomous AI Agent: Reasoning, Alignment and Planning
Xiusi Chen
2024 J jnl
PIANIST: Learning Partially Observable World Models with LLMs for Multi-Agent Decision Making.
CoRR
Jonathan Light, Sixue Xing, Yuanzhe Liu, Weiqin Chen, Min Cai, Xiusi Chen, Guanzhi Wang, Wei Cheng, Yisong Yue, Ziniu Hu
2024 A conf
PlayBest: Professional Basketball Player Behavior Synthesis via Planning with Diffusion.
CIKM
Xiusi Chen, Wei-Yao Wang, Ziniu Hu, David Reynoso, Kun Jin, Mingyan Liu, P. Jeffrey Brantingham, Wei Wang
2024 J jnl
Self-Updatable Large Language Models with Parameter Integration.
CoRR
Yu Wang, Xinshuang Liu, Xiusi Chen, Sean O'Brien, Junda Wu, Julian J. McAuley
2024 J jnl
SemiEvol: Semi-supervised Fine-tuning for LLM Adaptation.
CoRR
Junyu Luo, Xiao Luo, Xiusi Chen, Zhiping Xiao, Wei Ju, Ming Zhang
2024 J jnl
Strategist: Learning Strategic Skills by LLMs via Bi-Level Tree Search.
CoRR
Jonathan Light, Min Cai, Weiqin Chen, Guanzhi Wang, Xiusi Chen, Wei Cheng, Yisong Yue, Ziniu Hu
2024 J jnl
TPD: Enhancing Student Language Model Reasoning via Principle Discovery and Guidance.
CoRR
Haorui Wang, Rongzhi Zhang, Yinghao Li, Lingkai Kong, Yuchen Zhuang, Xiusi Chen, Chao Zhang
2024 J jnl
TinyLLM: Learning a Small Student from Multiple Large Language Models.
CoRR
Yijun Tian, Yikun Han, Xiusi Chen, Wei Wang, Nitesh V. Chawla
2024 J jnl
Towards LifeSpan Cognitive Systems.
CoRR
Yu Wang, Chi Han, Tongtong Wu, Xiaoxin He, Wangchunshu Zhou, Nafis Sadeq, Xiusi Chen, Zexue He, Wei Wang, Gholamreza Haffari, Heng Ji, Julian J. McAuley
2023 J jnl
"Why Should I Review This Paper?" Unifying Semantic, Topic, and Citation Factors for Paper-Reviewer Matching.
CoRR
Yu Zhang, Yanzhen Shen, Xiusi Chen, Bowen Jin, Jiawei Han
2023 J jnl
A Multi-View Multi-Task Learning Framework for Multi-Variate Time Series Forecasting.
IEEE Trans. Knowl. Data Eng.
Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang
2023 A conf
Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation.
SDM
Xiusi Chen, Yu Zhang, Jinliang Deng, Jyun-Yu Jiang, Wei Wang
2023 J jnl
Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation.
CoRR
Xiusi Chen, Yu Zhang, Jinliang Deng, Jyun-Yu Jiang, Wei Wang
2023 J jnl
Language Models As Semantic Indexers.
CoRR
Bowen Jin, Hansi Zeng, Guoyin Wang, Xiusi Chen, Tianxin Wei, Ruirui Li, Zhengyang Wang, Zheng Li, Yang Li, Hanqing Lu, Suhang Wang, Jiawei Han, Xianfeng Tang
2023 J jnl
Learning Structured Components: Towards Modular and Interpretable Multivariate Time Series Forecasting.
CoRR
Jinliang Deng, Xiusi Chen, Renhe Jiang, Du Yin, Yi Yang, Xuan Song, Ivor W. Tsang
2023 J jnl
MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering.
CoRR
Xiusi Chen, Jyun-Yu Jiang, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Wei Wang
2023 J jnl
Professional Basketball Player Behavior Synthesis via Planning with Diffusion.
CoRR
Xiusi Chen, Wei-Yao Wang, Ziniu Hu, Curtis Chou, Lam Hoang, Kun Jin, Mingyan Liu, P. Jeffrey Brantingham, Wei Wang
2023 A* conf
Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers.
KDD
Yu Zhang, Bowen Jin, Xiusi Chen, Yanzhen Shen, Yunyi Zhang, Yu Meng, Jiawei Han
2023 J jnl
Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers.
CoRR
Yu Zhang, Bowen Jin, Xiusi Chen, Yanzhen Shen, Yunyi Zhang, Yu Meng, Jiawei Han
2022 A conf
MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information.
WSDM
Yu Zhang, Shweta Garg, Yu Meng, Xiusi Chen, Jiawei Han
2022 A conf
ReLiable: Offline Reinforcement Learning for Tactical Strategies in Professional Basketball Games.
CIKM
Xiusi Chen, Jyun-Yu Jiang, Kun Jin, Yichao Zhou, Mingyan Liu, P. Jeffrey Brantingham, Wei Wang
2022 A conf
Scalable Graph Representation Learning via Locality-Sensitive Hashing.
CIKM
Xiusi Chen, Jyun-Yu Jiang, Wei Wang
2021 J jnl
#StayHome or #Marathon? Social Media Enhanced Pandemic Surveillance on Spatial-temporal Dynamic Graphs.
CoRR
Yichao Zhou, Jyun-Yu Jiang, Xiusi Chen, Wei Wang
2021 A conf
#StayHome or #Marathon?: Social Media Enhanced Pandemic Surveillance on Spatial-temporal Dynamic Graphs.
CIKM
Yichao Zhou, Jyun-Yu Jiang, Xiusi Chen, Wei Wang
2021 J jnl
A Multi-view Multi-task Learning Framework for Multi-variate Time Series Forecasting.
CoRR
Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang
2021 A conf
Evaluating Audience Loyalty and Authenticity in Influencer Marketing via Multi-task Multi-relational Learning.
ICWSM
Seungbae Kim, Xiusi Chen, Jyun-Yu Jiang, Jinyoung Han, Wei Wang
2021 A conf
Hierarchical Metadata-Aware Document Categorization under Weak Supervision.
WSDM
Yu Zhang, Xiusi Chen, Yu Meng, Jiawei Han
2021 J jnl
MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information.
CoRR
Yu Zhang, Shweta Garg, Yu Meng, Xiusi Chen, Jiawei Han
2021 A* conf
ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting.
KDD
Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang
2021 J jnl
The Pulse of Urban Transport: Exploring the Co-evolving Pattern for Spatio-temporal Forecasting.
ACM Trans. Knowl. Discov. Data
Jinliang Deng, Xiusi Chen, Zipei Fan, Renhe Jiang, Xuan Song, Ivor W. Tsang
2020 A* conf
Few-Shot Learning for New User Recommendation in Location-based Social Networks.
WWW
Ruirui Li, Xian Wu, Xiusi Chen, Wei Wang
2020 J jnl
Hierarchical Metadata-Aware Document Categorization under Weak Supervision.
CoRR
Yu Zhang, Xiusi Chen, Yu Meng, Jiawei Han
2018 A* conf
ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation.
AAAI
Chang Zhou, Jinze Bai, Junshuai Song, Xiaofei Liu, Zhengchao Zhao, Xiusi Chen, Jun Gao
2018 A* conf
Doc2Cube: Allocating Documents to Text Cube Without Labeled Data.
ICDM
Fangbo Tao, Chao Zhang, Xiusi Chen, Meng Jiang, Tim Hanratty, Lance M. Kaplan, Jiawei Han
2018 A* conf
TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering.
KDD
Chao Zhang, Fangbo Tao, Xiusi Chen, Jiaming Shen, Meng Jiang, Brian M. Sadler, Michelle Vanni, Jiawei Han
2018 J jnl
TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering.
CoRR
Chao Zhang, Fangbo Tao, Xiusi Chen, Jiaming Shen, Meng Jiang, Brian M. Sadler, Michelle Vanni, Jiawei Han
2017 J jnl
ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation.
CoRR
Chang Zhou, Jinze Bai, Junshuai Song, Xiaofei Liu, Zhengchao Zhao, Xiusi Chen, Jun Gao