activity
20242026
most citedSupervising the search process produces reliable and generalizable information-seeking agents

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CL20261 cited

Supervising the search process produces reliable and generalizable information-seeking agents

Guangzhi Xiong, Qiao Jin, Xiao Wang +9

Large language models (LLMs) are transforming web search by shifting from document ranking to synthesizing answers, and are increasingly deployed as autonomous agentic search syste…

cs.CL2026

Utility-Oriented Visual Evidence Selection for Multimodal Retrieval-Augmented Generation

Weiqing Luo, Zongye Hu, Xiao Wang +3

Visual evidence selection is a critical component of multimodal retrieval-augmented generation (RAG), yet existing methods typically rely on semantic relevance or surface-level sim…

cs.CV2026

BabelDOC: Better Layout-Preserving PDF Translation via Intermediate Representation

Qi Yang, Xiangyao Ma, Xiao Wang +2

As global cross-lingual communication intensifies, language barriers in visually rich documents such as PDFs remain a practical bottleneck. Existing document translation pipelines…

cs.CL2025

MedCite: Can Language Models Generate Verifiable Text for Medicine?

Xiao Wang, Mengjue Tan, Qiao Jin +5

Existing LLM-based medical question-answering systems lack citation generation and evaluation capabilities, raising concerns about their adoption in practice. In this work, we intr…

cs.CL2024

Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up Questions

Guangzhi Xiong, Qiao Jin, Xiao Wang +3

The emergent abilities of large language models (LLMs) have demonstrated great potential in solving medical questions. They can possess considerable medical knowledge, but may stil…