Showing cs.CLShow all
2 papers · 1 filter
cs.CL2026
Exclusive Unlearning
Mutsumi Sasaki, Kouta Nakayama, Yusuke Miyao +2
When introducing Large Language Models (LLMs) into industrial applications, such as healthcare and education, the risk of generating harmful content becomes a significant challenge…
cs.CL2024
Unlearning Traces the Influential Training Data of Language Models
Masaru Isonuma, Ivan Titov
Identifying the training datasets that influence a language model's outputs is essential for minimizing the generation of harmful content and enhancing its performance. Ideally, we…