| 2025 | Modeling All-Atom Glycan Structures via Hierarchical Message Passing and Multi-Scale Pre-training. | Minghao Xu, Jiaze Song, Keming Wu, Xiangxin Zhou, Bin Cui, Wentao Zhang |
| 2025 | ProSec: Fortifying Code LLMs with Proactive Security Alignment. | Xiangzhe Xu, Zian Su, Jinyao Guo, Kaiyuan Zhang, Zhenting Wang, Xiangyu Zhang |
| 2025 | On Expressive Power of Looped Transformers: Theoretical Analysis and Enhancement via Timestep Encoding. | Kevin Xu, Issei Sato |
| 2025 | Investigating Non-Transitivity in LLM-as-a-Judge. | Yi Xu, Laura Ruis, Tim Rocktschel, Robert Kirk |
| 2025 | Toward Efficient Kernel-Based Solvers for Nonlinear PDEs. | Zhitong Xu, Da Long, Yiming Xu, Guang Yang, Shandian Zhe, Houman Owhadi |
| 2025 | Test-time Adapted Reinforcement Learning with Action Entropy Regularization. | Shoukai Xu, Zihao Lian, Mingkui Tan, Liu Liu, Zhong Zhang, Peilin Zhao |
| 2025 | Refined generalization analysis of the Deep Ritz Method and Physics-Informed Neural Networks. | Xianliang Xu, Ye Li, Zhongyi Huang |
| 2025 | Sub-Sequential Physics-Informed Learning with State Space Model. | Chenhui Xu, Dancheng Liu, Yuting Hu, Jiajie Li, Ruiyang Qin, Qingxiao Zheng, Jinjun Xiong |
| 2025 | RE-IMAGINE: Symbolic Benchmark Synthesis for Reasoning Evaluation. | Xinnuo Xu, Rachel Lawrence, Kshitij Dubey, Atharva Pandey, Risa Ueno, Fabian Falck, Aditya V. Nori, Rahul Sharma, Amit Sharma, Javier Gonzlez |
| 2025 | Contradiction Retrieval via Contrastive Learning with Sparsity. | Haike Xu, Zongyu Lin, Kai-Wei Chang, Yizhou Sun, Piotr Indyk |
| 2025 | AdvAgent: Controllable Blackbox Red-teaming on Web Agents. | Chejian Xu, Mintong Kang, Jiawei Zhang, Zeyi Liao, Lingbo Mo, Mengqi Yuan, Huan Sun, Bo Li |
| 2025 | Robust Multi-bit Text Watermark with LLM-based Paraphrasers. | Xiaojun Xu, Jinghan Jia, Yuanshun Yao, Yang Liu, Hang Li |
| 2025 | Concept-Based Unsupervised Domain Adaptation. | Xinyue Xu, Yueying Hu, Hui Tang, Yi Qin, Lu Mi, Hao Wang, Xiaomeng Li |
| 2025 | Learning Strategic Language Agents in the Werewolf Game with Iterative Latent Space Policy Optimization. | Zelai Xu, Wanjun Gu, Chao Yu, Yi Wu, Yu Wang |
| 2025 | ArrayDPS: Unsupervised Blind Speech Separation with a Diffusion Prior. | Zhongweiyang Xu, Xulin Fan, Zhong-Qiu Wang, Xilin Jiang, Romit Roy Choudhury |
| 2025 | Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions. | Yihao Xue, Jiping Li, Baharan Mirzasoleiman |
| 2025 | PROTOCOL: Partial Optimal Transport-enhanced Contrastive Learning for Imbalanced Multi-view Clustering. | Xuqian Xue, Yiming Lei, Qi Cai, Hongming Shan, Junping Zhang |
| 2025 | Policy Regularization on Globally Accessible States in Cross-Dynamics Reinforcement Learning. | Zhenghai Xue, Lang Feng, Jiacheng Xu, Kang Kang, Xiang Wen, Bo An, Shuicheng Yan |
| 2025 | DipLLM: Fine-Tuning LLM for Strategic Decision-making in Diplomacy. | Kaixuan Xu, Jiajun Chai, Sicheng Li, Yuqian Fu, Yuanheng Zhu, Dongbin Zhao |
| 2025 | RLTHF: Targeted Human Feedback for LLM Alignment. | Yifei Xu, Tusher Chakraborty, Emre Kiciman, Bibek Aryal, Srinagesh Sharma, Songwu Lu, Ranveer Chandra |
| 2025 | Rethinking Benign Overfitting in Two-Layer Neural Networks. | Ruichen Xu, Kexin Chen |
| 2025 | Global Optimization with a Power-Transformed Objective and Gaussian Smoothing. | Chen Xu |
| 2025 | Cavia: Camera-controllable Multi-view Video Diffusion with View-Integrated Attention. | Dejia Xu, Yifan Jiang, Chen Huang, Liangchen Song, Thorsten Gernoth, Liangliang Cao, Zhangyang Wang, Hao Tang |
| 2025 | CogReact: A Reinforced Framework to Model Human Cognitive Reaction Modulated by Dynamic Intervention. | Songlin Xu, Xinyu Zhang |
| 2025 | Componential Prompt-Knowledge Alignment for Domain Incremental Learning. | Kunlun Xu, Xu Zou, Gang Hua, Jiahuan Zhou |