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Abhimanyu Hans

2 accepted papers

2024

Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs

NeurIPS 2024poster

Large language models can memorize and repeat their training data, causing privacy and copyright risks. To mitigate memorization, we introduce a subtle modification to the next-token training objective that we call the goldfish loss. During training, a randomly sampled subsets of tokens are excluded…

2024

Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text

ICML 2024poster

Detecting text generated by modern large language models is thought to be hard, as both LLMs and humans can exhibit a wide range of complex behaviors. However, we find that a score based on contrasting two closely related language models is highly accurate at separating human-generated and machine-g…