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cs.LG2024
What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions
Sang Keun Choe, Hwijeen Ahn, Juhan Bae +11
Large language models (LLMs) are trained on a vast amount of human-written data, but data providers often remain uncredited. In response to this issue, data valuation (or data attr…
cs.LG2024★ 1 cited
Training Data Attribution via Approximate Unrolled Differentiation
Juhan Bae, Wu Lin, Jonathan Lorraine +1
Many training data attribution (TDA) methods aim to estimate how a model's behavior would change if one or more data points were removed from the training set. Methods based on imp…
cs.AI2024
REFACTOR: Learning to Extract Theorems from Proofs
Jin Peng Zhou, Yuhuai Wu, Qiyang Li +1
Human mathematicians are often good at recognizing modular and reusable theorems that make complex mathematical results within reach. In this paper, we propose a novel method calle…