RELIANCE is a new expert-annotated dataset of TikTok reproductive health content paired with LLM fact-checking evaluations showing 60% accuracy in sampled videos and a 15% gap between claim and full-content assessment.
Web retrieval agents for evidence-based misinformation detection
3 Pith papers cite this work. Polarity classification is still indexing.
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CiteTracer detects hallucinated citations with a 12-code field-level taxonomy and a cascading multi-agent retrieval pipeline, reporting 97.1% accuracy on a synthetic benchmark.
CiteAudit supplies a human-validated benchmark and multi-agent verification system that outperforms existing LLMs and commercial tools at detecting hallucinated scientific references.
citing papers explorer
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RELIANCE: Curating and Evaluating Reproductive Health Information on Social Media
RELIANCE is a new expert-annotated dataset of TikTok reproductive health content paired with LLM fact-checking evaluations showing 60% accuracy in sampled videos and a 15% gap between claim and full-content assessment.
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Source or It Didn't Happen: A Multi-Agent Framework for Citation Hallucination Detection
CiteTracer detects hallucinated citations with a 12-code field-level taxonomy and a cascading multi-agent retrieval pipeline, reporting 97.1% accuracy on a synthetic benchmark.
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CiteAudit: You Cited It, But Did You Read It? A Benchmark for Verifying Scientific References in the LLM Era
CiteAudit supplies a human-validated benchmark and multi-agent verification system that outperforms existing LLMs and commercial tools at detecting hallucinated scientific references.