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
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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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Identifying AI Web Scrapers Using Canary Tokens
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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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.