22 citations · 29 across the 10 of their papers we have counts for
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cs.CL2023
Using Captum to Explain Generative Language Models
Vivek Miglani, Aobo Yang, Aram H. Markosyan +2
Captum is a comprehensive library for model explainability in PyTorch, offering a range of methods from the interpretability literature to enhance users' understanding of PyTorch m…
cs.LG2023★ 3 cited
Error Discovery by Clustering Influence Embeddings
Fulton Wang, Julius Adebayo, Sarah Tan +2
We present a method for identifying groups of test examples -- slices -- on which a model under-performs, a task now known as slice discovery. We formalize coherence -- a requireme…