2 papers
cs.CL2025
SIRAG: Towards Stable and Interpretable RAG with A Process-Supervised Multi-Agent Framework
Junlin Wang, Zehao Wu, Shaowei Lu +2
Retrieval-Augmented Generation (RAG) enables large language models (LLMs) to access external knowledge sources, but the effectiveness of RAG relies on the coordination between the…
cs.LG2025
Physics-informed mixture of experts network for interpretable battery degradation trajectory computation amid second-life complexities
Xinghao Huang, Shengyu Tao, Chen Liang +6
Retired electric vehicle batteries offer immense potential to support low-carbon energy systems, but uncertainties in their degradation behavior and data inaccessibilities under se…