| 2025 | Balanced Learning for Domain Adaptive Semantic Segmentation. | Wangkai Li, Rui Sun, Bohao Liao, Zhaoyang Li, Tianzhu Zhang |
| 2025 | LLM-Assisted Semantically Diverse Teammate Generation for Efficient Multi-agent Coordination. | Lihe Li, Lei Yuan, Pengsen Liu, Tao Jiang, Yang Yu |
| 2025 | Fairness on Principal Stratum: A New Perspective on Counterfactual Fairness. | Haoxuan Li, Zeyu Tang, Zhichao Jiang, Zhuangyan Fang, Yue Liu, Zhi Geng, Kun Zhang |
| 2025 | Towards Black-Box Membership Inference Attack for Diffusion Models. | Jingwei Li, Jing Dong, Tianxing He, Jingzhao Zhang |
| 2025 | CommVQ: Commutative Vector Quantization for KV Cache Compression. | Junyan Li, Yang Zhang, Muhammad Yusuf Hassan, Talha Chafekar, Tianle Cai, Zhile Ren, Pengsheng Guo, Foroozan Karimzadeh, Colorado Reed, Chong Wang, Chuang Gan |
| 2025 | MoE-SVD: Structured Mixture-of-Experts LLMs Compression via Singular Value Decomposition. | Wei Li, Lujun Li, Hao Gu, You-Liang Huang, Mark G. Lee, Shengjie Sun, Wei Xue, Yike Guo |
| 2025 | Alpha-SQL: Zero-Shot Text-to-SQL using Monte Carlo Tree Search. | Boyan Li, Jiayi Zhang, Ju Fan, Yanwei Xu, Chong Chen, Nan Tang, Yuyu Luo |
| 2025 | Active Evaluation Acquisition for Efficient LLM Benchmarking. | Yang Li, Jie Ma, Miguel Ballesteros, Yassine Benajiba, Graham Horwood |
| 2025 | Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification. | Sicong Li, Qianqian Xu, Zhiyong Yang, Zitai Wang, Linchao Zhang, Xiaochun Cao, Qingming Huang |
| 2025 | LARM: Large Auto-Regressive Model for Long-Horizon Embodied Intelligence. | Zhuoling Li, Xiaogang Xu, Zhenhua Xu, Ser-Nam Lim, Hengshuang Zhao |
| 2025 | STAR: Learning Diverse Robot Skill Abstractions through Rotation-Augmented Vector Quantization. | Hao Li, Qi Lv, Rui Shao, Xiang Deng, Yinchuan Li, Jianye Hao, Liqiang Nie |
| 2025 | Deterministic Sparse Fourier Transform for Continuous Signals with Frequency Gap. | Xiaoyu Li, Zhao Song, Shenghao Xie |
| 2025 | CaDA: Cross-Problem Routing Solver with Constraint-Aware Dual-Attention. | Han Li, Fei Liu, Zhi Zheng, Yu Zhang, Zhenkun Wang |
| 2025 | The Underlying Universal Statistical Structure of Natural Datasets. | Noam Itzhak Levi, Yaron Oz |
| 2025 | The Double-Ellipsoid Geometry of CLIP. | Meir Yossef Levi, Guy Gilboa |
| 2025 | A Simple Model of Inference Scaling Laws. | Noam Itzhak Levi |
| 2025 | Attributes Shape the Embedding Space of Face Recognition Models. | Pierrick Leroy, Antonio Mastropietro, Marco Nurisso, Francesco Vaccarino |
| 2025 | Scalable Sobolev IPM for Probability Measures on a Graph. | Tam Le, Truyen Nguyen, Hideitsu Hino, Kenji Fukumizu |
| 2025 | iN2V: Bringing Transductive Node Embeddings to Inductive Graphs. | Nicolas Lell, Ansgar Scherp |
| 2025 | M3-JEPA: Multimodal Alignment via Multi-gate MoE based on the Joint-Embedding Predictive Architecture. | Hongyang Lei, Xiaolong Cheng, Qi Qin, Dan Wang, Huazhen Huang, Qingqing Gu, Yetao Wu, Luo Ji |
| 2025 | DRAG: Data Reconstruction Attack using Guided Diffusion. | Wa-Kin Lei, Jun-Cheng Chen, Shang-Tse Chen |
| 2025 | Efficient Distributed Optimization under Heavy-Tailed Noise. | Su Hyeong Lee, Manzil Zaheer, Tian Li |
| 2025 | RestoreGrad: Signal Restoration Using Conditional Denoising Diffusion Models with Jointly Learned Prior. | Ching Hua Lee, Chouchang Yang, Jaejin Cho, Yashas Malur Saidutta, Rakshith Sharma Srinivasa, Yilin Shen, Hongxia Jin |
| 2025 | Lightweight Online Adaption for Time Series Foundation Model Forecasts. | Thomas L. Lee, William Toner, Rajkarn Singh, Artjom Joosen, Martin Asenov |
| 2025 | From Theory to Practice: Rethinking Green and Martin Kernels for Unleashing Graph Transformers. | Yoon Hyeok Lee, Jaemin Park, Taejin Paik, Doyun Kim, Bosun Hwang |