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cs.LG2026
PithTrain: A Compact and Agent-Native MoE Training System
Ruihang Lai, Hao Kang, Haozhan Tang +6
Mixture-of-Experts (MoE) has become the dominant architecture for frontier language models. To meet this demand, production frameworks have built optimized MoE training stacks over…
cs.LG2025
AutoRule: Reasoning Chain-of-thought Extracted Rule-based Rewards Improve Preference Learning
Tevin Wang, Chenyan Xiong
Rule-based rewards offer a promising strategy for improving reinforcement learning from human feedback (RLHF), but current approaches often rely on manual rule engineering. We pres…