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Humans struggle to detect AI-generated receipts, LLMs excel

A new dataset called GPT4o-Receipt has been released to study the forensics of AI-generated financial documents. The dataset includes 1,235 receipt images, comparing those generated by GPT-4o with authentic receipts. Human annotators and five state-of-the-art multimodal LLMs evaluated the dataset. Findings indicate that while humans can spot AI artifacts, LLMs are more effective at detecting AI-generated documents, primarily due to their ability to verify arithmetic accuracy, a task humans struggle with visually. AI

IMPACT Highlights LLMs' growing capability in verifying document integrity, potentially impacting financial auditing and fraud detection.

RANK_REASON The cluster describes a new research paper and dataset release focused on AI document forensics. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Humans struggle to detect AI-generated receipts, LLMs excel

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The cluster describes a new research paper and dataset release focused on AI document forensics. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Yan Zhang, Simiao Ren, Ankit Raj, En Wei, Dennis Ng, Alex Shen, Jiayu Xue, Yuxin Zhang, Evelyn Marotta ·

    GPT4o-Receipt: A Dataset and Human Study for AI-Generated Document Forensics

    arXiv:2603.11442v3 Announce Type: replace Abstract: Can humans detect AI-generated financial documents better than machines? We present GPT4o-Receipt, a benchmark of 1,235 receipt images pairing GPT-4o-generated receipts with authentic ones from established datasets, evaluated by…