2 papers
cs.IR2025
HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems
Jiejun Tan, Zhicheng Dou, Wen Wang +3
Retrieval-Augmented Generation (RAG) has been shown to improve knowledge capabilities and alleviate the hallucination problem of LLMs. The Web is a major source of external knowled…
cs.AI2024
From Novice to Expert: LLM Agent Policy Optimization via Step-wise Reinforcement Learning
Zhirui Deng, Zhicheng Dou, Yutao Zhu +4
The outstanding capabilities of large language models (LLMs) render them a crucial component in various autonomous agent systems. While traditional methods depend on the inherent k…