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20222026
most citedInvestigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation

19 citations · 21 across the 13 of their papers we have counts for

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5 papers · 1 filter

cs.AI2026

The Scheduler Is a Hidden Retriever: How Asynchrony Shapes Evidence Acquisition in Search Agents

Ruiyang Ren, Yuhao Wang, Yinan Zhang +1

Language-model agents increasingly solve complex tasks through parallel reasoning and asynchronous information gathering. Controlled replay across two model families and three benc…

cs.CL2026

ArbGraph: Conflict-Aware Evidence Arbitration for Reliable Long-Form Retrieval-Augmented Generation

Qingying Niu, Yuhao Wang, Ruiyang Ren +2

Retrieval-augmented generation (RAG) remains unreliable in long-form settings, where retrieved evidence is noisy or contradictory, making it difficult for RAG pipelines to maintain…

cs.AI2026

Emulating Clinician Cognition via Self-Evolving Deep Clinical Research

Ruiyang Ren, Yuhao Wang, Yunsen Liang +8

Clinical diagnosis is a complex cognitive process, grounded in dynamic cue acquisition and continuous expertise accumulation. Yet most current artificial intelligence (AI) systems…

cs.CV2026

QCAgent: An agentic framework for quality-controllable pathology report generation from whole slide image

Rundong Wang, Wei Ba, Ying Zhou +8

Recent methods for pathology report generation from whole-slide image (WSI) are capable of producing slide-level diagnostic descriptions but fail to ground fine-grained statements…

cs.AI2026

DeepResearch-9K: A Challenging Benchmark Dataset of Deep-Research Agent

Tongzhou Wu, Yuhao Wang, Xinyu Ma +4

Deep-research agents are capable of executing multi-step web exploration, targeted retrieval, and sophisticated question answering. Despite their powerful capabilities, deep-resear…