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Home/Authors/Pengjun Xie

Pengjun Xie

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

Info Retrieval×1Vision×1AI×1Crypto×1

Frequent co-authors

Fuwei Zhang1×
Yanzhao Zhang1×
Mingxin Li1×
Dingkun Long1×
Lexiang Hu1×
Zhao Zhang1×

Research Timeline

2026
FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence

The paper introduces FraudBench, a multimodal benchmark designed to detect AI-generated fraudulent refund evidence, finding that current AI models struggle significantly with claim-conditioned fake-damage detection.

CORE-Bench: A Comprehensive Benchmark for Code Retrieval in the Era of Agentic Coding

This paper introduces CORE-Bench, a comprehensive benchmark for code retrieval in agentic coding.

Highlighted terms show continued research focus across papers

Papers

cs.IREmpiricalRecentJun 10, 2026

CORE-Bench: A Comprehensive Benchmark for Code Retrieval in the Era of Agentic Coding

Fuwei Zhang, Yanzhao Zhang, Mingxin Li, Dingkun Long +4 more

This paper introduces CORE-Bench, a comprehensive benchmark for code retrieval in agentic coding.

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cs.CVcs.AIcs.CRRecentMay 9, 2026

FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence

Xinyu Yan, Boyang Chen, Jiaming Zhang, Tiantong Wu +11 more

The paper introduces FraudBench, a multimodal benchmark designed to detect AI-generated fraudulent refund evidence, finding that current AI models struggle significantly with claim-conditioned fake-da…

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