TokenSwap: A Lightweight Method to Disrupt Memorized Sequences in LLMs

NeurIPSSpotlight2025

Authors
Parjanya Prajakta Prashant, Kaustubh Ponkshe, Babak Salimi
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

As language models scale, their performance improves dramatically across a wide range of tasks, but so does their tendency to memorize and regurgitate parts of their training data verbatim…

Opening excerpt from the authors’ abstract. source

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Topics

language model llm

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