| 2025 | Lasso Bandit with Compatibility Condition on Optimal Arm. | Harin Lee, Taehyun Hwang, Min-hwan Oh |
| 2025 | SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning. | Hojoon Lee, Dongyoon Hwang, Donghu Kim, Hyunseung Kim, Jun Jet Tai, Kaushik Subramanian, Peter R. Wurman, Jaegul Choo, Peter Stone, Takuma Seno |
| 2025 | PeriodWave: Multi-Period Flow Matching for High-Fidelity Waveform Generation. | Sang-Hoon Lee, Ha-Yeong Choi, Seong-Whan Lee |
| 2025 | Indirect Gradient Matching for Adversarial Robust Distillation. | Hongsin Lee, Seungju Cho, Changick Kim |
| 2025 | Robust Weight Initialization for Tanh Neural Networks with Fixed Point Analysis. | Hyunwoo Lee, Hayoung Choi, Hyunju Kim |
| 2025 | How Much is Unseen Depends Chiefly on Information About the Seen. | Seongmin Lee, Marcel Bhme |
| 2025 | NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models. | Chankyu Lee, Rajarshi Roy, Mengyao Xu, Jonathan Raiman, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping |
| 2025 | Duoduo CLIP: Efficient 3D Understanding with Multi-View Images. | Han-Hung Lee, Yiming Zhang, Angel X. Chang |
| 2025 | Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing. | Qi Le, Enmao Diao, Ziyan Wang, Xinran Wang, Jie Ding, Li Yang, Ali Anwar |
| 2025 | Sparse Autoencoders Do Not Find Canonical Units of Analysis. | Patrick Leask, Bart Bussmann, Michael T. Pearce, Joseph Isaac Bloom, Curt Tigges, Noura Al Moubayed, Lee Sharkey, Neel Nanda |
| 2025 | A Causal Lens for Learning Long-term Fair Policies. | Jacob Lear, Lu Zhang |
| 2025 | Residual Stream Analysis with Multi-Layer SAEs. | Tim Lawson, Lucy Farnik, Conor J. Houghton, Laurence Aitchison |
| 2025 | Improving Equivariant Networks with Probabilistic Symmetry Breaking. | Hannah Lawrence, Vasco Portilheiro, Yan Zhang, Skou-Oumar Kaba |
| 2025 | Fast and Slow Streams for Online Time Series Forecasting Without Information Leakage. | Ying-yee Ava Lau, Zhiwen Shao, Dit-Yan Yeung |
| 2025 | Learning Diagrams: A Graphical Language for Compositional Training Regimes. | Mason Lary, Richard Samuelson, Alexander Wilentz, Alina Zare, Matthew Klawonn, James P. Fairbanks |
| 2025 | GaussianAnything: Interactive Point Cloud Flow Matching for 3D Generation. | Yushi Lan, Shangchen Zhou, Zhaoyang Lyu, Fangzhou Hong, Shuai Yang, Bo Dai, Xingang Pan, Chen Change Loy |
| 2025 | Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis. | Guangchen Lan, Dong-Jun Han, Abolfazl Hashemi, Vaneet Aggarwal, Christopher Brinton |
| 2025 | Text4Seg: Reimagining Image Segmentation as Text Generation. | Mengcheng Lan, Chaofeng Chen, Yue Zhou, Jiaxing Xu, Yiping Ke, Xinjiang Wang, Litong Feng, Wayne Zhang |
| 2025 | Inner Information Analysis Algorithm for Deep Neural Network based on Community. | Guipeng Lan, Shuai Xiao, Meng Xi, Jiabao Wen, Jiachen Yang |
| 2025 | Self-supervised contrastive learning performs non-linear system identification. | Rodrigo Gonzlez Laiz, Tobias Schmidt, Steffen Schneider |
| 2025 | InstantPortrait: One-Step Portrait Editing via Diffusion Multi-Objective Distillation. | Zhixin Lai, Keqiang Sun, Fu-Yun Wang, Dhritiman Sagar, Erli Ding |
| 2025 | Revisit Large-Scale Image-Caption Data in Pre-training Multimodal Foundation Models. | Zhengfeng Lai, Vasileios Saveris, Chen Chen, Hong-You Chen, Haotian Zhang, Bowen Zhang, Wenze Hu, Juan Lao Tebar, Zhe Gan, Peter Grasch, Meng Cao, Yinfei Yang |
| 2025 | Singular Subspace Perturbation Bounds via Rectangular Random Matrix Diffusions. | Peiyao Lai, Oren Mangoubi |
| 2025 | FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference. | Xunhao Lai, Jianqiao Lu, Yao Luo, Yiyuan Ma, Xun Zhou |
| 2025 | Correlated Proxies: A New Definition and Improved Mitigation for Reward Hacking. | Cassidy Laidlaw, Shivam Singhal, Anca D. Dragan |