A survey of LLM copyright protection that unifies text watermarking, model watermarking, and model fingerprinting while presenting new coverage of fingerprint transfer and removal.
Detecting stylistic fingerprints of large language models
3 Pith papers cite this work. Polarity classification is still indexing.
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LLM debate essays exhibit argument collapse, converging on a much smaller set of main arguments, sub-arguments, and structures than human-written responses across large corpora.
GoCoMA fuses code stylometry and binary artifact images via hyperbolic Poincaré ball projection and geodesic-cosine attention to attribute LLM-generated code, outperforming baselines on CoDET-M4 and LLMAuthorBench.
citing papers explorer
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Copyright Protection for Large Language Models: A Survey of Methods, Challenges, and Trends
A survey of LLM copyright protection that unifies text watermarking, model watermarking, and model fingerprinting while presenting new coverage of fingerprint transfer and removal.
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Argument Collapse: LLMs Flatten Long-Form Public Debate
LLM debate essays exhibit argument collapse, converging on a much smaller set of main arguments, sub-arguments, and structures than human-written responses across large corpora.
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GoCoMA: Hyperbolic Multimodal Representation Fusion for Large Language Model-Generated Code Attribution
GoCoMA fuses code stylometry and binary artifact images via hyperbolic Poincaré ball projection and geodesic-cosine attention to attribute LLM-generated code, outperforming baselines on CoDET-M4 and LLMAuthorBench.