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cs.CL2026
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…
cs.CL2026
ReportLogic: Evaluating Logical Quality in Deep Research Reports
Jujia Zhao, Zhaoxin Huan, Zihan Wang +4
Users increasingly rely on Large Language Models (LLMs) for Deep Research, using them to synthesize diverse sources into structured reports that support understanding and action. I…
cs.CL2025
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…