most citedDH-RAG: A Dynamic Historical Context-Powered Retrieval-Augmented Generation Method for Multi-Turn Dialogue

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cs.CL2026

-Bench: Can Large Language Models Engineer the Infrastructure That Powers Them?

Leilei Ding, Shumin Wang, Yuting Huang +10

Large language models (LLMs) now show strong reasoning and coding abilities, raising the prospect that they could assist in developing and optimizing the very infrastructure that p…

cs.CL2025★ 1 cited

DH-RAG: A Dynamic Historical Context-Powered Retrieval-Augmented Generation Method for Multi-Turn Dialogue

Feiyuan Zhang, Dezhi Zhu, James Ming +6

Retrieval-Augmented Generation (RAG) systems have shown substantial benefits in applications such as question answering and multi-turn dialogue \citep{lewis2020retrieval}. However,…