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cs.CL2026
How LoRA Remembers? A Parametric Memory Law for LLM Finetuning
Ziwen Xu, Haiwen Hong, Linsong Yu +4
Large Language Models (LLMs) must continuously learn and update knowledge to remain effective in dynamic real-world environments. While Low-Rank Adaptation (LoRA) is widely used fo…
cs.CL2023
General Phrase Debiaser: Debiasing Masked Language Models at a Multi-Token Level
Bingkang Shi, Xiaodan Zhang, Dehan Kong +4
The social biases and unwelcome stereotypes revealed by pretrained language models are becoming obstacles to their application. Compared to numerous debiasing methods targeting wor…