data valuation
Data valuation refers to the process of determining the worth or importance of data, particularly in the context of machine learning, where certain data points may significantly influence the model's performance and thus, inform decisions on data collection and curation.
- DATE-LM: Benchmarking Data Attribution Evaluation for Large Language Models
- Fairshare Data Pricing via Data Valuation for Large Language Models
- Faithful Group Shapley Value
- Influence Guided Context Selection for Effective Retrieval-Augmented Generation
- KAIROS: Scalable Model-Agnostic Data Valuation
- Regression-adjusted Monte Carlo Estimators for Shapley Values and Probabilistic Values
- Shapley-Based Data Valuation for Weighted $k$-Nearest Neighbors
- What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions