dattri-LLM: A Unified and Efficient Library for Training Data Attribution at LLM Scale
dattri-LLM is a new library that addresses the challenges of training data attribution at large language model scale by improving efficiency and compatibility.
01
Who it touches
- 1dattri-LLM
- uses →Fact
- enables →Fact
- depends on →Fact
- uses →Fact
- uses →Fact
02
Evidence
- AarXiv cs.LGInstitution2026-10-02 12:00
Most scalable TDA methods rely on per-example gradients, whose computation and use at LLM scale pose challenges in efficiency, compatibility, and extensibility.
- AarXiv cs.LGInstitution2026-10-02 12:00
Abstract: Training data attribution (TDA) estimates the contribution of individual training examples to model outputs. Most scalable TDA methods rely on per-ex…