Unmasking the Hidden Fingerprints of Machine Unlearning in Large Language Models

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The “Unlearning” Phenomenon in Large Language Models: Detecting the Traces of Forgetting In today’s digital era, large language models (LLMs) have become the shining stars of the artificial intelligence field, bringing about unprecedented transformation across various industries. However, with the widespread application of LLMs, critical issues such as data privacy, copyright protection, and socio-technical risks have gradually come to the forefront. This is where “machine unlearning” (MU), also known as LLM unlearning, plays a vital role. Its mission is to precisely remove specific unwanted data or knowledge from trained models, enabling LLMs to serve humanity more safely and reliably while …