MASC achieves competitive forget-retain trade-offs in language model unlearning at lower computational cost via margin self-correction and an online stopping criterion on TOFU, MUSE News, and MUSE Books.
Unilogit: Robust Machine Unlearning for LLM s Using Uniform-Target Self-Distillation
2 Pith papers cite this work. Polarity classification is still indexing.
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PSALM is an LLM-as-a-judge framework with ten evaluators that operationalizes EU copyright doctrine to detect stylistic appropriation in fine-tuned LLMs beyond verbatim copying, applied to Llama 3.2 models on Dutch literary works.
citing papers explorer
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Fast Unlearning at Scale via Margin Self-Correction
MASC achieves competitive forget-retain trade-offs in language model unlearning at lower computational cost via margin self-correction and an online stopping criterion on TOFU, MUSE News, and MUSE Books.
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Probing Stylistic Appropriation using Large Language Models: An Evaluation Framework for Copyright Infringement under EU Law
PSALM is an LLM-as-a-judge framework with ten evaluators that operationalizes EU copyright doctrine to detect stylistic appropriation in fine-tuned LLMs beyond verbatim copying, applied to Llama 3.2 models on Dutch literary works.