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cs.LG2025
UFT: Unifying Supervised and Reinforcement Fine-Tuning
Mingyang Liu, Gabriele Farina, Asuman Ozdaglar
Post-training has demonstrated its importance in enhancing the reasoning capabilities of large language models (LLMs). The primary post-training methods can be categorized into sup…
cs.GT2025
Differentially Private Equilibrium Finding in Polymatrix Games
Mingyang Liu, Gabriele Farina, Asuman Ozdaglar
We study equilibrium finding in polymatrix games under differential privacy constraints. Prior work in this area fails to achieve both high-accuracy equilibria and a low privacy bu…