FraudBench shows that current multimodal LLMs and specialized AI-image detectors often fail to spot AI-generated fake damage in refund evidence, with true positive rates frequently below 50% on synthetic subsets while producing false positives on real damage.
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4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
years
2026 4verdicts
UNVERDICTED 4representative citing papers
torchtune is a modular PyTorch library for LLM post-training that delivers competitive performance and memory efficiency while supporting rapid research iteration through hackable components.
Three detection methods for informed trading in prediction markets—composite screens, sign-randomization tests, and the new Information Leakage Score—operate as stacked layers that together increase precision.
University security protocols assume co-located 9-to-5 users and thereby disable remote international partnership students.
citing papers explorer
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FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence
FraudBench shows that current multimodal LLMs and specialized AI-image detectors often fail to spot AI-generated fake damage in refund evidence, with true positive rates frequently below 50% on synthetic subsets while producing false positives on real damage.
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torchtune: PyTorch native post-training library
torchtune is a modular PyTorch library for LLM post-training that delivers competitive performance and memory efficiency while supporting rapid research iteration through hackable components.
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Per-Market Information Leakage and Order-Flow Skill: Two Methodological Lenses on Informed Trading in Decentralized Prediction Markets
Three detection methods for informed trading in prediction markets—composite screens, sign-randomization tests, and the new Information Leakage Score—operate as stacked layers that together increase precision.
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Locked Out at 8,000 Miles: Why UK-China Partnership Students Are Suffering
University security protocols assume co-located 9-to-5 users and thereby disable remote international partnership students.