| 2025 | Minerva: A Programmable Memory Test Benchmark for Language Models. | Menglin Xia, Victor Rhle, Saravan Rajmohan, Reza Shokri |
| 2025 | A First-order Generative Bilevel Optimization Framework for Diffusion Models. | Quan Xiao, Hui Yuan, A F M Saif, Gaowen Liu, Ramana Rao Kompella, Mengdi Wang, Tianyi Chen |
| 2025 | Trustworthy Machine Learning through Data-Specific Indistinguishability. | Hanshen Xiao, Zhen Yang, G. Edward Suh |
| 2025 | Are High-Quality AI-Generated Images More Difficult for Models to Detect? | Yao Xiao, Binbin Yang, Weiyan Chen, Jiahao Chen, Zijie Cao, ZiYi Dong, Xiangyang Ji, Liang Lin, Wei Ke, Pengxu Wei |
| 2025 | Exact risk curves of signSGD in High-Dimensions: quantifying preconditioning and noise-compression effects. | Ke Liang Xiao, Noah Marshall, Atish Agarwala, Elliot Paquette |
| 2025 | Restoring Calibration for Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach. | Jiancong Xiao, Bojian Hou, Zhanliang Wang, Ruochen Jin, Qi Long, Weijie J. Su, Li Shen |
| 2025 | When Every Millisecond Counts: Real-Time Anomaly Detection via the Multimodal Asynchronous Hybrid Network. | Dong Xiao, Guangyao Chen, Peixi Peng, Yangru Huang, Yifan Zhao, Yongxing Dai, Yonghong Tian |
| 2025 | LoRA-Gen: Specializing Large Language Model via Online LoRA Generation. | Yicheng Xiao, Lin Song, Rui Yan, Cheng Cheng, Yixiao Ge, Xiu Li, Ying Shan |
| 2025 | On the Vulnerability of Applying Retrieval-Augmented Generation within Knowledge-Intensive Application Domains. | Xun Xian, Ganghua Wang, Xuan Bi, Rui Zhang, Jayanth Srinivasa, Ashish Kundu, Charles Fleming, Mingyi Hong, Jie Ding |
| 2025 | GuardAgent: Safeguard LLM Agents via Knowledge-Enabled Reasoning. | Zhen Xiang, Linzhi Zheng, Yanjie Li, Junyuan Hong, Qinbin Li, Han Xie, Jiawei Zhang, Zidi Xiong, Chulin Xie, Carl Yang, Dawn Song, Bo Li |
| 2025 | Learning the Electronic Hamiltonian of Large Atomic Structures. | Chen Hao Xia, Manasa Kaniselvan, Alexandros Nikolaos Ziogas, Marko Mladenovic, Rayen Mahjoub, Alexander Maeder, Mathieu Luisier |
| 2025 | Causal Abstraction Inference under Lossy Representations. | Kevin Muyuan Xia, Elias Bareinboim |
| 2025 | DragLoRA: Online Optimization of LoRA Adapters for Drag-based Image Editing in Diffusion Model. | Siwei Xia, Li Sun, Tiantian Sun, Qingli Li |
| 2025 | Simplifying DINO via Coding Rate Regularization. | Ziyang Wu, Jingyuan Zhang, Druv Pai, Xudong Wang, Chandan Singh, Jianwei Yang, Jianfeng Gao, Yi Ma |
| 2025 | Weight matrices compression based on PDB model in deep neural networks. | Xiaoling Wu, Junpeng Zhu, Zeng Li |
| 2025 | Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector. | Qirui Wu, Shizhou Zhang, De Cheng, Yinghui Xing, Di Xu, Peng Wang, Yanning Zhang |
| 2025 | Leveraging Model Guidance to Extract Training Data from Personalized Diffusion Models. | Xiaoyu Wu, Jiaru Zhang, Steven Wu |
| 2025 | An Empirical Study on Configuring In-Context Learning Demonstrations for Unleashing MLLMs' Sentimental Perception Capability. | Daiqing Wu, Dongbao Yang, Sicheng Zhao, Can Ma, Yu Zhou |
| 2025 | Supercharging Graph Transformers with Advective Diffusion. | Qitian Wu, Chenxiao Yang, Kaipeng Zeng, Michael M. Bronstein |
| 2025 | Towards Rationale-Answer Alignment of LVLMs via Self-Rationale Calibration. | Yuanchen Wu, Ke Yan, Shouhong Ding, Ziyin Zhou, Xiaoqiang Li |
| 2025 | Rethinking Chain-of-Thought from the Perspective of Self-Training. | Zongqian Wu, Baoduo Xu, Ruochen Cui, Mengmeng Zhan, Xiaofeng Zhu, Lei Feng |
| 2025 | Annealing Flow Generative Models Towards Sampling High-Dimensional and Multi-Modal Distributions. | Dongze Wu, Yao Xie |
| 2025 | PINNsAgent: Automated PDE Surrogation with Large Language Models. | Qingpo Wuwu, Chonghan Gao, Tianyu Chen, Yihang Huang, Yuekai Zhang, Jianing Wang, Jianxin Li, Haoyi Zhou, Shanghang Zhang |
| 2025 | Distributed Parallel Gradient Stacking(DPGS): Solving Whole Slide Image Stacking Challenge in Multi-Instance Learning. | Boyuan Wu, Zefeng Wang, Xianwei Lin, Jiachun Xu, Jikai Yu, Shicheng Zhou, Hongda Chen, Lianxin Hu |
| 2025 | BackSlash: Rate Constrained Optimized Training of Large Language Models. | Jun Wu, Jiangtao Wen, Yuxing Han |