| 2025 | Sanity Checking Causal Representation Learning on a Simple Real-World System. | Juan L. Gamella, Simon Bing, Jakob Runge |
| 2025 | More Than Meets the Eye: Enhancing Multi-Object Tracking Even with Prolonged Occlusions. | Bishoy Galoaa, Somaieh Amraee, Sarah Ostadabbas |
| 2025 | Parameter-Efficient Fine-Tuning of State Space Models. | Kevin Galim, Wonjun Kang, Yuchen Zeng, Hyung Il Koo, Kangwook Lee |
| 2025 | Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead. | Rickard Brel Gabrielsson, Jiacheng Zhu, Onkar Bhardwaj, Leshem Choshen, Kristjan H. Greenewald, Mikhail Yurochkin, Justin Solomon |
| 2025 | Generalized additive models via direct optimization of regularized decision stump forests. | Magzhan Gabidolla, Miguel . Carreira-Perpin |
| 2025 | PiD: Generalized AI-Generated Images Detection with Pixelwise Decomposition Residuals. | Xinghe Fu, Zhiyuan Yan, Zheng Yang, Taiping Yao, Yandan Zhao, Shouhong Ding, Xi Li |
| 2025 | PoisonBench: Assessing Language Model Vulnerability to Poisoned Preference Data. | Tingchen Fu, Mrinank Sharma, Philip Torr, Shay B. Cohen, David Krueger, Fazl Barez |
| 2025 | Knowledge Retention in Continual Model-Based Reinforcement Learning. | Haotian Fu, Yixiang Sun, Michael Littman, George Konidaris |
| 2025 | ReFocus: Visual Editing as a Chain of Thought for Structured Image Understanding. | Xingyu Fu, Minqian Liu, Zhengyuan Yang, John Corring, Yijuan Lu, Jianwei Yang, Dan Roth, Dinei A. F. Florncio, Cha Zhang |
| 2025 | Meta Optimality for Demographic Parity Constrained Regression via Post-Processing. | Kazuto Fukuchi |
| 2025 | PAC-Bayes Analysis for Recalibration in Classification. | Masahiro Fujisawa, Futoshi Futami |
| 2025 | Fast Large Language Model Collaborative Decoding via Speculation. | Jiale Fu, Yuchu Jiang, Junkai Chen, Jiaming Fan, Xin Geng, Xu Yang |
| 2025 | Gradient Boosting Reinforcement Learning. | Benjamin Fuhrer, Chen Tessler, Gal Dalal |
| 2025 | EmoGrowth: Incremental Multi-label Emotion Decoding with Augmented Emotional Relation Graph. | Kaicheng Fu, Changde Du, Jie Peng, Kunpeng Wang, Shuangchen Zhao, Xiaoyu Chen, Huiguang He |
| 2025 | Uncertainty Estimation for Heterophilic Graphs Through the Lens of Information Theory. | Dominik Fuchsgruber, Tom Wollschlger, Johannes Bordne, Stephan Gnnemann |
| 2025 | Less is More: Federated Graph Learning with Alleviating Topology Heterogeneity from A Causal Perspective. | Lele Fu, Bowen Deng, Sheng Huang, Tianchi Liao, Shirui Pan, Chuan Chen |
| 2025 | On the Statistical Mechanisms of Distributional Compositional Generalization. | Jingwen Fu, Nanning Zheng |
| 2025 | Learning Mixtures of Experts with EM: A Mirror Descent Perspective. | Quentin Fruytier, Aryan Mokhtari, Sujay Sanghavi |
| 2025 | Prompt-to-Leaderboard: Prompt-Adaptive LLM Evaluations. | Evan Frick, Connor Chen, Joseph Tennyson, Tianle Li, Wei-Lin Chiang, Anastasios Nikolas Angelopoulos, Ion Stoica |
| 2025 | Product of Experts with LLMs: Boosting Performance on ARC Is a Matter of Perspective. | Daniel Franzen, Jan Disselhoff, David Hartmann |
| 2025 | Finite-Time Convergence Rates in Stochastic Stackelberg Games with Smooth Algorithmic Agents. | Eric Frankel, Kshitij Kulkarni, Dmitriy Drusvyatskiy, Sewoong Oh, Lillian J. Ratliff |
| 2025 | S4S: Solving for a Fast Diffusion Model Solver. | Eric Frankel, Sitan Chen, Jerry Li, Pang Wei Koh, Lillian J. Ratliff, Sewoong Oh |
| 2025 | COMRECGC: Global Graph Counterfactual Explainer through Common Recourse. | Gregoire Fournier, Sourav Medya |
| 2025 | Adaptive Flow Matching for Resolving Small-Scale Physics. | Stathi Fotiadis, Noah D. Brenowitz, Tomas Geffner, Yair Cohen, Michael S. Pritchard, Arash Vahdat, Morteza Mardani |
| 2025 | SHARP-Distill: A 68 Faster Recommender System with Hypergraph Neural Networks and Language Models. | Saman Forouzandeh, Parham Moradi, Mahdi Jalili |