| 2025 | Consensus Based Stochastic Optimal Control. | Liyao Lyu, Jingrun Chen |
| 2025 | RealRAG: Retrieval-augmented Realistic Image Generation via Self-reflective Contrastive Learning. | Yuanhuiyi Lyu, Xu Zheng, Lutao Jiang, Yibo Yan, Xin Zou, Huiyu Zhou, Linfeng Zhang, Xuming Hu |
| 2025 | Autonomy-of-Experts Models. | Ang Lv, Ruobing Xie, Yining Qian, Songhao Wu, Xingwu Sun, Zhanhui Kang, Di Wang, Rui Yan |
| 2025 | Dendritic Localized Learning: Toward Biologically Plausible Algorithm. | Changze Lv, Jingwen Xu, Yiyang Lu, Xiaohua Wang, Zhenghua Wang, Zhibo Xu, Di Yu, Xin Du, Xiaoqing Zheng, Xuanjing Huang |
| 2025 | Runtime Analysis of Evolutionary NAS for Multiclass Classification. | Zeqiong Lv, Chao Qian, Yun Liu, Jiahao Fan, Yanan Sun |
| 2025 | Constrained Exploitability Descent: An Offline Reinforcement Learning Method for Finding Mixed-Strategy Nash Equilibrium. | Runyu Lu, Yuanheng Zhu, Dongbin Zhao |
| 2025 | ToMA: Token Merge with Attention for Diffusion Models. | Wenbo Lu, Shaoyi Zheng, Yuxuan Xia, Shengjie Wang |
| 2025 | FedSMU: Communication-Efficient and Generalization-Enhanced Federated Learning through Symbolic Model Updates. | Xinyi Lu, Hao Zhang, Chenglin Li, Weijia Lu, Zhifei Yang, Wenrui Dai, Xiaodong Zhang, Xiaofeng Ma, Can Zhang, Junni Zou, Hongkai Xiong |
| 2025 | Sparse Autoencoders, Again? | Yin Lu, Xuening Zhu, Tong He, David Wipf |
| 2025 | Strategic Planning: A Top-Down Approach to Option Generation. | Max Ruiz Luyten, Antonin Berthon, Mihaela van der Schaar |
| 2025 | LLaVA-ReID: Selective Multi-image Questioner for Interactive Person Re-Identification. | Yiding Lu, Mouxing Yang, Dezhong Peng, Peng Hu, Yijie Lin, Xi Peng |
| 2025 | Learning Initial Basis Selection for Linear Programming via Duality-Inspired Tripartite Graph Representation and Comprehensive Supervision. | Anqi Lu, Junchi Yan |
| 2025 | Rethinking the Stability-Plasticity Trade-off in Continual Learning from an Architectural Perspective. | Aojun Lu, Hangjie Yuan, Tao Feng, Yanan Sun |
| 2025 | OptMATH: A Scalable Bidirectional Data Synthesis Framework for Optimization Modeling. | Hongliang Lu, Zhonglin Xie, Yaoyu Wu, Can Ren, Yuxuan Chen, Zaiwen Wen |
| 2025 | Agent Reviewers: Domain-specific Multimodal Agents with Shared Memory for Paper Review. | Kai Lu, Shixiong Xu, Jinqiu Li, Kun Ding, Gaofeng Meng |
| 2025 | Stochastic Forward-Backward Deconvolution: Training Diffusion Models with Finite Noisy Datasets. | Haoye Lu, Qifan Wu, Yaoliang Yu |
| 2025 | DAMA: Data- and Model-aware Alignment of Multi-modal LLMs. | Jinda Lu, Junkang Wu, Jinghan Li, Xiaojun Jia, Shuo Wang, Yifan Zhang, Junfeng Fang, Xiang Wang, Xiangnan He |
| 2025 | Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences. | Yunhong Lu, Qichao Wang, Hengyuan Cao, Xiaoyin Xu, Min Zhang |
| 2025 | Enhancing Rating-Based Reinforcement Learning to Effectively Leverage Feedback from Large Vision-Language Models. | Tung Minh Luu, Younghwan Lee, Donghoon Lee, Sunho Kim, Min Jun Kim, Chang D. Yoo |
| 2025 | System-Aware Unlearning Algorithms: Use Lesser, Forget Faster. | Linda Lu, Ayush Sekhari, Karthik Sridharan |
| 2025 | Overcoming the Curse of Dimensionality in Reinforcement Learning Through Approximate Factorization. | Chenbei Lu, Laixi Shi, Zaiwei Chen, Chenye Wu, Adam Wierman |
| 2025 | Habitizing Diffusion Planning for Efficient and Effective Decision Making. | Haofei Lu, Yifei Shen, Dongsheng Li, Junliang Xing, Dongqi Han |
| 2025 | David and Goliath: Small One-step Model Beats Large Diffusion with Score Post-training. | Weijian Luo, Colin Zhang, Debing Zhang, Zhengyang Geng |
| 2025 | MERIT: Maximum-normalized Element-wise Ratio for Language Model Large-batch Training. | Yang Luo, Zangwei Zheng, Ziheng Qin, Zirui Zhu, Yong Liu, Yang You |
| 2025 | Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models. | Linhao Luo, Zicheng Zhao, Gholamreza Haffari, Yuan-Fang Li, Chen Gong, Shirui Pan |