| 2025 | CONTRA: Conformal Prediction Region via Normalizing Flow Transformation. | Zhenhan Fang, Aixin Tan, Jian Huang |
| 2025 | Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement Learning. | Linjiajie Fang, Ruoxue Liu, Jing Zhang, Wenjia Wang, Bingyi Jing |
| 2025 | qNBO: quasi-Newton Meets Bilevel Optimization. | Sheng Fang, Yongjin Liu, Wei Yao, Chengming Yu, Jin Zhang |
| 2025 | CircuitFusion: Multimodal Circuit Representation Learning for Agile Chip Design. | Wenji Fang, Shang Liu, Jing Wang, Zhiyao Xie |
| 2025 | On the Benefits of Attribute-Driven Graph Domain Adaptation. | Ruiyi Fang, Bingheng Li, Zhao Kang, Qiuhao Zeng, Nima Hosseini Dashtbayaz, Ruizhi Pu, Charles Ling, Boyu Wang |
| 2025 | AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models. | Junfeng Fang, Houcheng Jiang, Kun Wang, Yunshan Ma, Jie Shi, Xiang Wang, Xiangnan He, Tat-Seng Chua |
| 2025 | Neuralized Markov Random Field for Interaction-Aware Stochastic Human Trajectory Prediction. | Zilin Fang, David Hsu, Gim Hee Lee |
| 2025 | LLaMA-Omni: Seamless Speech Interaction with Large Language Models. | Qingkai Fang, Shoutao Guo, Yan Zhou, Zhengrui Ma, Shaolei Zhang, Yang Feng |
| 2025 | KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks. | Taoran Fang, Tianhong Gao, Chunping Wang, Yihao Shang, Wei Chow, Lei Chen, Yang Yang |
| 2025 | Rethinking Invariance in In-context Learning. | Lizhe Fang, Yifei Wang, Khashayar Gatmiry, Lei Fang, Yisen Wang |
| 2025 | Looped Transformers for Length Generalization. | Ying Fan, Yilun Du, Kannan Ramchandran, Kangwook Lee |
| 2025 | Combatting Dimensional Collapse in LLM Pre-Training Data via Submodular File Selection. | Ziqing Fan, Siyuan Du, Shengchao Hu, Pingjie Wang, Li Shen, Ya Zhang, Dacheng Tao, Yanfeng Wang |
| 2025 | FairMT-Bench: Benchmarking Fairness for Multi-turn Dialogue in Conversational LLMs. | Zhiting Fan, Ruizhe Chen, Tianxiang Hu, Zuozhu Liu |
| 2025 | WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models. | Shengda Fan, Xin Cong, Yuepeng Fu, Zhong Zhang, Shuyan Zhang, Yuanwei Liu, Yesai Wu, Yankai Lin, Zhiyuan Liu, Maosong Sun |
| 2025 | Associative memory and dead neurons. | Vladimir Fanaskov, Ivan V. Oseledets |
| 2025 | Stable Segment Anything Model. | Qi Fan, Xin Tao, Lei Ke, Mingqiao Ye, Di Zhang, Pengfei Wan, Yu-Wing Tai, Chi-Keung Tang |
| 2025 | Improving Complex Reasoning with Dynamic Prompt Corruption: A Soft Prompt Optimization Approach. | Sinan Fan, Liang Xie, Chen Shen, Ge Teng, Xiaosong Yuan, Xiaofeng Zhang, Chenxi Huang, Wenxiao Wang, Xiaofei He, Jieping Ye |
| 2025 | OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code. | Maxence Faldor, Jenny Zhang, Antoine Cully, Jeff Clune |
| 2025 | CAX: Cellular Automata Accelerated in JAX. | Maxence Faldor, Antoine Cully |
| 2025 | Accelerated training through iterative gradient propagation along the residual path. | Erwan Fagnou, Paul Caillon, Blaise Delattre, Alexandre Allauzen |
| 2025 | ACC-Collab: An Actor-Critic Approach to Multi-Agent LLM Collaboration. | Andrew Estornell, Jean-Francois Ton, Yuanshun Yao, Yang Liu |
| 2025 | Mitigate the Gap: Improving Cross-Modal Alignment in CLIP. | Sedigheh Eslami, Gerard de Melo |
| 2025 | STAR: Stability-Inducing Weight Perturbation for Continual Learning. | Masih Eskandar, Tooba Imtiaz, Davin Hill, Zifeng Wang, Jennifer G. Dy |
| 2025 | InstaSHAP: Interpretable Additive Models Explain Shapley Values Instantly. | James Enouen, Yan Liu |
| 2025 | Not All Language Model Features Are One-Dimensionally Linear. | Joshua Engels, Eric J. Michaud, Isaac Liao, Wes Gurnee, Max Tegmark |