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Home/Authors/Mei Wang

Mei Wang

3 indexed papers

Recent (6 mo)
3
With code
0
Influential cites
0
Benchmarked
0

Publications per year

3
26

Top categories

AI×3NLP×2Info Retrieval×1Emerging Tech×1Multiagent×1Crypto×1

Frequent co-authors

OneRec Team1×
Biao Yang1×
Boyang Ding1×
Chenglong Chu1×
Dunju Zang1×
Fei Pan1×

Research Timeline

2026
Towards Secure Retrieval-Augmented Generation: A Comprehensive Review of Threats, Defenses and Benchmarks

This paper provides the first comprehensive, end-to-end survey dedicated to the security of Retrieval-Augmented Generation (RAG) systems, systematically mapping threats, defenses, and benchmarks across the entire pipeline.

ClinEnv: An Interactive Multi-Stage Long Horizon EHR Environment for Agents

The paper introduces ClinEnv, a novel interactive, multi-stage benchmark designed to evaluate LLMs' decision-making and information-gathering process during longitudinal inpatient medical simulations.

OneReason Technical Report

The paper proposes OneReason, a framework that enhances the reasoning capability of generative recommendation models by focusing on improving item perception and structuring user behavior into coherent latent interests.

Highlighted terms show continued research focus across papers

Papers

cs.IRcs.AIcs.CLRecentJun 4, 2026

OneReason Technical Report

OneRec Team, Biao Yang, Boyang Ding, Chenglong Chu +80 more

The paper proposes OneReason, a framework that enhances the reasoning capability of generative recommendation models by focusing on improving item perception and structuring user behavior into coheren…

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cs.AIcs.CLcs.ETRecentJun 1, 2026

ClinEnv: An Interactive Multi-Stage Long Horizon EHR Environment for Agents

Yuxing Lu, Yushuhong Lin, Wenqi Shi, J. Ben Tamo +3 more

The paper introduces ClinEnv, a novel interactive, multi-stage benchmark designed to evaluate LLMs' decision-making and information-gathering process during longitudinal inpatient medical simulations.

View →
cs.CRcs.AIRecentMar 23, 2026

Towards Secure Retrieval-Augmented Generation: A Comprehensive Review of Threats, Defenses and Benchmarks

Yanming Mu, Hao Hu, Feiyang Li, Qiao Yuan +6 more

This paper provides the first comprehensive, end-to-end survey dedicated to the security of Retrieval-Augmented Generation (RAG) systems, systematically mapping threats, defenses, and benchmarks acros…

View →