35 citations · 38 across the 6 of their papers we have counts for
5 papers · 1 filter
Compression Beyond the Uncompressed: A Two-Stage Training Recipe for Soft Context Compression in RAG
Shuyu Guo, Shuo Zhang, Zhaochun Ren
Retrieval-Augmented Generation (RAG) improves knowledge-intensive generation by conditioning language models on retrieved documents, but processing these documents becomes increasi…
RubricReviewer: From Direct Critique to Objective and Comprehensive Rubric-Driven Peer Review
Shuyu Guo, Wenxiang Hu, Yuyue Zhao +2
Peer review at major venues is under unprecedented submission pressure, motivating the use of large language models (LLMs) as review assistants. Existing LLM-based reviewers, howev…
EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific Discovery
Yougang Lyu, Xi Zhang, Xinhao Yi +11
The increasing adoption of Large Language Models (LLMs) has enabled AI scientists to perform complex end-to-end scientific discovery tasks requiring coordination of specialized rol…
Enhancing RAG Efficiency with Adaptive Context Compression
Shuyu Guo, Shuo Zhang, Zhaochun Ren
Retrieval-augmented generation (RAG) enhances large language models (LLMs) with external knowledge but incurs significant inference costs due to lengthy retrieved contexts. While c…
Metaphorical User Simulators for Evaluating Task-oriented Dialogue Systems
Weiwei Sun, Shuyu Guo, Shuo Zhang +4
Task-oriented dialogue systems (TDSs) are assessed mainly in an offline setting or through human evaluation. The evaluation is often limited to single-turn or is very time-intensiv…