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cs.CL2025
AceReason-Nemotron 1.1: Advancing Math and Code Reasoning through SFT and RL Synergy
Zihan Liu, Zhuolin Yang, Yang Chen +4
In this work, we investigate the synergy between supervised fine-tuning (SFT) and reinforcement learning (RL) in developing strong reasoning models. We begin by curating the SFT tr…
cs.CL2025
AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling
Zihan Liu, Yang Chen, Mohammad Shoeybi +2
In this paper, we introduce AceMath, a suite of frontier math models that excel in solving complex math problems, along with highly effective reward models capable of evaluating ge…