| 2025 | UniGS: Unified Language-Image-3D Pretraining with Gaussian Splatting. | Haoyuan Li, Yanpeng Zhou, Tao Tang, Jifei Song, Yihan Zeng, Michael Kampffmeyer, Hang Xu, Xiaodan Liang |
| 2025 | On the Crucial Role of Initialization for Matrix Factorization. | Bingcong Li, Liang Zhang, Aryan Mokhtari, Niao He |
| 2025 | Joint Reward and Policy Learning with Demonstrations and Human Feedback Improves Alignment. | Chenliang Li, Siliang Zeng, Zeyi Liao, Jiaxiang Li, Dongyeop Kang, Alfredo Garca, Mingyi Hong |
| 2025 | Knowledge Distillation with Multi-granularity Mixture of Priors for Image Super-Resolution. | Simiao Li, Yun Zhang, Wei Li, Hanting Chen, Wenjia Wang, Bingyi Jing, Shaohui Lin, Jie Hu |
| 2025 | UniDrive: Towards Universal Driving Perception Across Camera Configurations. | Ye Li, Wenzhao Zheng, Xiaonan Huang, Kurt Keutzer |
| 2025 | MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation. | Lu Li, Tianyu Zhang, Zhiqi Bu, Suyuchen Wang, Huan He, Jie Fu, Yonghui Wu, Jiang Bian, Yong Chen, Yoshua Bengio |
| 2025 | Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection. | Hengzhuang Li, Teng Zhang |
| 2025 | Your Mixture-of-Experts LLM Is Secretly an Embedding Model for Free. | Ziyue Li, Tianyi Zhou |
| 2025 | ARB-LLM: Alternating Refined Binarizations for Large Language Models. | Zhiteng Li, Xianglong Yan, Tianao Zhang, Haotong Qin, Dong Xie, Jiang Tian, Zhongchao Shi, Linghe Kong, Yulun Zhang, Xiaokang Yang |
| 2025 | Ferret-UI 2: Mastering Universal User Interface Understanding Across Platforms. | Zhangheng Li, Keen You, Haotian Zhang, Di Feng, Harsh Agrawal, Xiujun Li, Mohana Prasad Sathya Moorthy, Jeffrey Nichols, Yinfei Yang, Zhe Gan |
| 2025 | Montessori-Instruct: Generate Influential Training Data Tailored for Student Learning. | Xiaochuan Li, Zichun Yu, Chenyan Xiong |
| 2025 | Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization. | Zhe Li, Bicheng Ying, Zidong Liu, Chaosheng Dong, Haibo Yang |
| 2025 | OVTR: End-to-End Open-Vocabulary Multiple Object Tracking with Transformer. | Jinyang Li, En Yu, Sijia Chen, Wenbing Tao |
| 2025 | Safety Layers in Aligned Large Language Models: The Key to LLM Security. | Shen Li, Liuyi Yao, Lan Zhang, Yaliang Li |
| 2025 | Agent-Oriented Planning in Multi-Agent Systems. | Ao Li, Yuexiang Xie, Songze Li, Fugee Tsung, Bolin Ding, Yaliang Li |
| 2025 | Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems. | Yunyang Li, Zaishuo Xia, Lin Huang, Xinran Wei, Samuel Harshe, Han Yang, Erpai Luo, Zun Wang, Jia Zhang, Chang Liu, Bin Shao, Mark Gerstein |
| 2025 | Open-World Reinforcement Learning over Long Short-Term Imagination. | Jiajian Li, Qi Wang, Yunbo Wang, Xin Jin, Yang Li, Wenjun Zeng, Xiaokang Yang |
| 2025 | VLMaterial: Procedural Material Generation with Large Vision-Language Models. | Beichen Li, Rundi Wu, Armando Solar-Lezama, Changxi Zheng, Liang Shi, Bernd Bickel, Wojciech Matusik |
| 2025 | Recovery of Causal Graph Involving Latent Variables via Homologous Surrogates. | Xiu-Chuan Li, Jun Wang, Tongliang Liu |
| 2025 | On the Completeness of Invariant Geometric Deep Learning Models. | Zian Li, Xiyuan Wang, Shijia Kang, Muhan Zhang |
| 2025 | Can Reinforcement Learning Solve Asymmetric Combinatorial-Continuous Zero-Sum Games? | Yuheng Li, Panpan Wang, Haipeng Chen |
| 2025 | Exponential Topology-enabled Scalable Communication in Multi-agent Reinforcement Learning. | Xinran Li, Xiaolu Wang, Chenjia Bai, Jun Zhang |
| 2025 | IDArb: Intrinsic Decomposition for Arbitrary Number of Input Views and Illuminations. | Zhibing Li, Tong Wu, Jing Tan, Mengchen Zhang, Jiaqi Wang, Dahua Lin |
| 2025 | C-CLIP: Multimodal Continual Learning for Vision-Language Model. | Wenzhuo Liu, Fei Zhu, Longhui Wei, Qi Tian |
| 2025 | Exploring Prosocial Irrationality for LLM Agents: A Social Cognition View. | Xuan Liu, Jie Zhang, Haoyang Shang, Song Guo, Chengxu Yang, Quanyan Zhu |