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cs.LG2025
Universal Battery Degradation Forecasting Driven by Foundation Model Across Diverse Chemistries and Conditions
Joey Chan, Huan Wang, Haoyu Pan +6
Accurate forecasting of battery capacity fade is essential for the safety, reliability, and long-term efficiency of energy storage systems. However, the strong heterogeneity across…
cs.LG2025
Reinforcement Fine-Tuning Naturally Mitigates Forgetting in Continual Post-Training
Song Lai, Haohan Zhao, Rong Feng +9
Continual post-training (CPT) is a popular and effective technique for adapting foundation models like multimodal large language models to ever-evolving downstream tasks. While exi…