2024
Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration
EMNLP 2024main
The black-box nature of large language models (LLMs) poses challenges in interpreting results, impacting issues such as data intellectual property protection and hallucination tracing. Training data attribution (TDA) methods are considered effective solutions to address these challenges.Most recent…