2 papers
cs.AI2025
Retrieval Augmented Learning: A Retrial-based Large Language Model Self-Supervised Learning and Autonomous Knowledge Generation
Zongyuan Li, Pengfei Li, Runnan Qi +6
The lack of domain-specific data in the pre-training of Large Language Models (LLMs) severely limits LLM-based decision systems in specialized applications, while post-training a m…
cs.CY2025
Addressing the sustainable AI trilemma: a case study on LLM agents and RAG
Hui Wu, Xiaoyang Wang, Zhong Fan
Large language models (LLMs) have demonstrated significant capabilities, but their widespread deployment and more advanced applications raise critical sustainability challenges, pa…