A 1.5B LLM fine-tuned on a curated rationale dataset (READ) detects AI text with explanations and reportedly outperforms much larger prompted LLMs.
Token-specific watermarking with enhanced detectability and semantic coherence for large language models.arXiv preprint arXiv:2402.18059
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LLM watermarking adoption is limited by misaligned stakeholder incentives; incentive-aligned approaches such as in-context watermarking can enable practical use in targeted domains like education and peer review.
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