| 2025 | PARM: Multi-Objective Test-Time Alignment via Preference-Aware Autoregressive Reward Model. | Baijiong Lin, Weisen Jiang, Yuancheng Xu, Hao Chen, Ying-Cong Chen |
| 2025 | Latent Variable Estimation in Bayesian Black-Litterman Models. | Thomas Yuan-Lung Lin, Jerry Yao-Chieh Hu, Paul W. Chiou, Peter Lin |
| 2025 | Tightening Causal Bounds via Covariate-Aware Optimal Transport. | Sirui Lin, Zijun Gao, Jose H. Blanchet, Peter W. Glynn |
| 2025 | On Explaining Equivariant Graph Networks via Improved Relevance Propagation. | Hongyi Ling, Haiyang Yu, Zhimeng Jiang, Na Zou, Shuiwang Ji |
| 2025 | Temporal Query Network for Efficient Multivariate Time Series Forecasting. | Shengsheng Lin, Haojun Chen, Haijie Wu, Chunyun Qiu, Weiwei Lin |
| 2025 | Mitigating Local Cohesion and Global Sparseness in Graph Contrastive Learning with Fuzzy Boundaries. | Yuena Lin, Haichun Cai, Jun-Yi Hang, Haobo Wang, Zhen Yang, Gengyu Lyu |
| 2025 | Semantics-aware Test-time Adaptation for 3D Human Pose Estimation. | Qiuxia Lin, Rongyu Chen, Kerui Gu, Angela Yao |
| 2025 | Scalable Gaussian Processes with Latent Kronecker Structure. | Jihao Andreas Lin, Sebastian Ament, Maximilian Balandat, David Eriksson, Jos Miguel Hernndez-Lobato, Eytan Bakshy |
| 2025 | Diffusion Adversarial Post-Training for One-Step Video Generation. | Shanchuan Lin, Xin Xia, Yuxi Ren, Ceyuan Yang, Xuefeng Xiao, Lu Jiang |
| 2025 | Ensemble Learned Bloom Filters: Two Oracles are Better than One. | Ming Lin, Lin Chen |
| 2025 | ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning. | Bill Yuchen Lin, Ronan Le Bras, Kyle Richardson, Ashish Sabharwal, Radha Poovendran, Peter Clark, Yejin Choi |
| 2025 | Learning Input Encodings for Kernel-Optimal Implicit Neural Representations. | Zhemin Li, Liyuan Ma, Hongxia Wang, Yaoyun Zeng, Xiaolong Han |
| 2025 | Modified K-means Algorithm with Local Optimality Guarantees. | Mingyi Li, Michael R. Metel, Akiko Takeda |
| 2025 | Optimal Auction Design in the Joint Advertising. | Yang Li, Yuchao Ma, Qi Qi |
| 2025 | PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop. | Chenyu Li, Oscar Michel, Xichen Pan, Sainan Liu, Mike Roberts, Saining Xie |
| 2025 | From Black Boxes to Transparent Minds: Evaluating and Enhancing the Theory of Mind in Multimodal Large Language Models. | Xinyang Li, Siqi Liu, Bochao Zou, Jiansheng Chen, Huimin Ma |
| 2025 | Approximation to Smooth Functions by Low-Rank Swish Networks. | Zimeng Li, Hongjun Li, Jingyuan Wang, Ke Tang |
| 2025 | Position: Supervised Classifiers Answer the Wrong Questions for OOD Detection. | Yucen Lily Li, Daohan Lu, Polina Kirichenko, Shikai Qiu, Tim G. J. Rudner, C. Bayan Bruss, Andrew Gordon Wilson |
| 2025 | BECAME: Bayesian Continual Learning with Adaptive Model Merging. | Mei Li, Yuxiang Lu, Qinyan Dai, Suizhi Huang, Yue Ding, Hongtao Lu |
| 2025 | One Arrow, Two Hawks: Sharpness-aware Minimization for Federated Learning via Global Model Trajectory. | Yuhang Li, Tong Liu, Yangguang Cui, Ming Hu, Xiaoqiang Li |
| 2025 | On the Clean Generalization and Robust Overfitting in Adversarial Training from Two Theoretical Views: Representation Complexity and Training Dynamics. | Binghui Li, Yuanzhi Li |
| 2025 | Local Identifying Causal Relations in the Presence of Latent Variables. | Zheng Li, Zeyu Liu, Feng Xie, Hao Zhang, Chunchen Liu, Zhi Geng |
| 2025 | HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting. | Boyuan Li, Yicheng Luo, Zhen Liu, Junhao Zheng, Jianming Lv, Qianli Ma |
| 2025 | R2-T2: Re-Routing in Test-Time for Multimodal Mixture-of-Experts. | Zhongyang Li, Ziyue Li, Tianyi Zhou |
| 2025 | DMOSpeech: Direct Metric Optimization via Distilled Diffusion Model in Zero-Shot Speech Synthesis. | Yinghao Aaron Li, Rithesh Kumar, Zeyu Jin |