Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration

Kangxi Wu, Liang Pang, Huawei Shen +1

The black-box nature of large language models (LLMs) poses challenges in interpreting results, impacting issues such as data intellectual property protection and hallucination trac…