| 2025 | UV-Attack: Physical-World Adversarial Attacks on Person Detection via Dynamic-NeRF-based UV Mapping. | Yanjie Li, Kaisheng Liang, Bin Xiao |
| 2025 | Unbounded: A Generative Infinite Game of Character Life Simulation. | Jialu Li, Yuanzhen Li, Neal Wadhwa, Yael Pritch, David E. Jacobs, Michael Rubinstein, Mohit Bansal, Nataniel Ruiz |
| 2025 | Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent. | Yangning Li, Yinghui Li, Xinyu Wang, Yong Jiang, Zhen Zhang, Xinran Zheng, Hui Wang, Hai-Tao Zheng, Fei Huang, Jingren Zhou, Philip S. Yu |
| 2025 | Proving Olympiad Inequalities by Synergizing LLMs and Symbolic Reasoning. | Zenan Li, Zhaoyu Li, Wen Tang, Xian Zhang, Yuan Yao, Xujie Si, Fan Yang, Kaiyu Yang, Xiaoxing Ma |
| 2025 | Many-Objective Multi-Solution Transport. | Ziyue Li, Tian Li, Virginia Smith, Jeff A. Bilmes, Tianyi Zhou |
| 2025 | Risk-Sensitive Diffusion: Robustly Optimizing Diffusion Models with Noisy Samples. | Yangming Li, Max Ruiz Luyten, Mihaela van der Schaar |
| 2025 | UniMatch: Universal Matching from Atom to Task for Few-Shot Drug Discovery. | Ruifeng Li, Mingqian Li, Wei Liu, Yuhua Zhou, Xiangxin Zhou, Yuan Yao, Qiang Zhang, Hongyang Chen |
| 2025 | MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model. | Junjie Li, Yang Liu, Weiqing Liu, Shikai Fang, Lewen Wang, Chang Xu, Jiang Bian |
| 2025 | ESE: Espresso Sentence Embeddings. | Xianming Li, Zongxi Li, Jing Li, Haoran Xie, Qing Li |
| 2025 | Complementary Label Learning with Positive Label Guessing and Negative Label Enhancement. | Yuhang Li, Zhuying Li, Yuheng Jia |
| 2025 | One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs. | Linbao Li, Yannan Liu, Daojing He, Yu Li |
| 2025 | On Disentangled Training for Nonlinear Transform in Learned Image Compression. | Han Li, Shaohui Li, Wenrui Dai, Maida Cao, Nuowen Kan, Chenglin Li, Junni Zou, Hongkai Xiong |
| 2025 | TVNet: A Novel Time Series Analysis Method Based on Dynamic Convolution and 3D-Variation. | Chenghan Li, Mingchen Li, Ruisheng Diao |
| 2025 | The Labyrinth of Links: Navigating the Associative Maze of Multi-modal LLMs. | Hong Li, Nanxi Li, Yuanjie Chen, Jianbin Zhu, Qinlu Guo, Cewu Lu, Yong-Lu Li |
| 2025 | Training Nonlinear Transformers for Chain-of-Thought Inference: A Theoretical Generalization Analysis. | Hongkang Li, Songtao Lu, Pin-Yu Chen, Xiaodong Cui, Meng Wang |
| 2025 | Efficient and Trustworthy Causal Discovery with Latent Variables and Complex Relations. | Xiu-Chuan Li, Tongliang Liu |
| 2025 | Process Reward Model with Q-value Rankings. | Wendi Li, Yixuan Li |
| 2025 | Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data. | Binghui Li, Yuanzhi Li |
| 2025 | (Mis)Fitting Scaling Laws: A Survey of Scaling Law Fitting Techniques in Deep Learning. | Margaret Li, Sneha Kudugunta, Luke Zettlemoyer |
| 2025 | Streamlining Prediction in Bayesian Deep Learning. | Rui Li, Marcus Klasson, Arno Solin, Martin Trapp |
| 2025 | Generative Classifiers Avoid Shortcut Solutions. | Alexander Cong Li, Ananya Kumar, Deepak Pathak |
| 2025 | Towards Foundation Models for Mixed Integer Linear Programming. | Sirui Li, Janardhan Kulkarni, Ishai Menache, Cathy Wu, Beibin Li |
| 2025 | AutoBencher: Towards Declarative Benchmark Construction. | Xiang Lisa Li, Farzaan Kaiyom, Evan Zheran Liu, Yifan Mai, Percy Liang, Tatsunori Hashimoto |
| 2025 | More RLHF, More Trust? On The Impact of Preference Alignment On Trustworthiness. | Aaron Jiaxun Li, Satyapriya Krishna, Himabindu Lakkaraju |
| 2025 | SPDIM: Source-Free Unsupervised Conditional and Label Shift Adaptation in EEG. | Shanglin Li, Motoaki Kawanabe, Reinmar J. Kobler |