Papers
Knowledge Retention in Continual Model-Based Reinforcement Learning
Haotian Fu, Yixiang Sun, Michael Littman et al.
PoisonBench: Assessing Language Model Vulnerability to Poisoned Preference Data
Tingchen Fu, Mrinank Sharma, Philip Torr et al.
ReFocus: Visual Editing as a Chain of Thought for Structured Image Understanding
Xingyu Fu, Minqian Liu, Zhengyuan Yang et al.
Fast Large Language Model Collaborative Decoding via Speculation
Jiale Fu, Yuchu Jiang, Junkai Chen et al.
EmoGrowth: Incremental Multi-label Emotion Decoding with Augmented Emotional Relation Graph
Kaicheng Fu, Changde Du, Jie Peng et al.
Less is More: Federated Graph Learning with Alleviating Topology Heterogeneity from A Causal Perspective
Lele Fu, Bowen Deng, Sheng Huang et al.
Learning Mixtures of Experts with EM: A Mirror Descent Perspective
Quentin Fruytier, Aryan Mokhtari, Sujay Sanghavi
Prompt-to-Leaderboard: Prompt-Adaptive LLM Evaluations
Evan Frick, Connor Chen, Joseph Tennyson et al.
Product of Experts with LLMs: Boosting Performance on ARC Is a Matter of Perspective
Daniel Franzen, Jan Disselhoff, David Hartmann
Finite-Time Convergence Rates in Stochastic Stackelberg Games with Smooth Algorithmic Agents
Eric Frankel, Kshitij Kulkarni, Dmitriy Drusvyatskiy et al.
S4S: Solving for a Fast Diffusion Model Solver
Eric Frankel, Sitan Chen, Jerry Li et al.
COMRECGC: Global Graph Counterfactual Explainer through Common Recourse
Gregoire Fournier, Sourav Medya
Adaptive Flow Matching for Resolving Small-Scale Physics
Stathi Fotiadis, Noah D Brenowitz, Tomas Geffner et al.
SHARP-Distill: A 68× Faster Recommender System with Hypergraph Neural Networks and Language Models
Saman Forouzandeh, Parham Moradi, Mahdi Jalili
Action-Dependent Optimality-Preserving Reward Shaping
Grant Collier Forbes, Jianxun Wang, Leonardo Villalobos-Arias et al.
LSCD: Lomb–Scargle Conditioned Diffusion for Time series Imputation
Elizabeth Fons, Alejandro Sztrajman, Yousef El-Laham et al.
Pareto-Optimal Fronts for Benchmarking Symbolic Regression Algorithms
Kei Sen Fong, Mehul Motani
The Perils of Optimizing Learned Reward Functions: Low Training Error Does Not Guarantee Low Regret
Lukas Fluri, Leon Lang, Alessandro Abate et al.
Generalized Random Forests Using Fixed-Point Trees
David Fleischer, David A. Stephens, Archer Y. Yang
The Value of Prediction in Identifying the Worst-Off
Unai Fischer-Abaigar, Christoph Kern, Juan Carlos Perdomo
From Jack of All Trades to Master of One: Specializing LLM-based Autoraters to a Test Set
Mara Finkelstein, Daniel Deutsch, Parker Riley et al.
Improving the Effective Receptive Field of Message-Passing Neural Networks
Shahaf E. Finder, Ron Shapira Weber, Moshe Eliasof et al.
Faster Approximation Algorithms for k-Center via Data Reduction
Arnold Filtser, Shaofeng H.-C. Jiang, Yi Li et al.
GLGENN: A Novel Parameter-Light Equivariant Neural Networks Architecture Based on Clifford Geometric Algebras
Ekaterina Filimoshina, Dmitry Shirokov