Unique canary tokens served to visiting scrapers can be recovered from LLM outputs to identify which scrapers feed data to which of 22 tested production LLMs.
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3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
representative citing papers
VAC replaces scalar rewards with natural language feedback in an alternating training loop between a feedback model and a policy model, yielding better personalized QA on the LaMP-QA benchmark.
Reddit data analysis shows reply-based mobile scams growing nearly twice as fast as click-based ones while evading commercial and open-source detectors.
citing papers explorer
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Learning from Natural Language Feedback for Personalized Question Answering
VAC replaces scalar rewards with natural language feedback in an alternating training loop between a feedback model and a policy model, yielding better personalized QA on the LaMP-QA benchmark.
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Read This Paper to Get $50 Million:* An Analysis of Mobile Messaging Scams Using Reddit Data
Reddit data analysis shows reply-based mobile scams growing nearly twice as fast as click-based ones while evading commercial and open-source detectors.