26 citations · 31 across the 6 of their papers we have counts for
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cs.IR2022
Rank-LIME: Local Model-Agnostic Feature Attribution for Learning to Rank
Tanya Chowdhury, Razieh Rahimi, James Allan
Understanding why a model makes certain predictions is crucial when adapting it for real world decision making. LIME is a popular model-agnostic feature attribution method for the…
cs.CL2022★ 3 cited
You can't pick your neighbors, or can you? When and how to rely on retrieval in the NN-LM
Andrew Drozdov, Shufan Wang, Razieh Rahimi +3
Retrieval-enhanced language models (LMs), which condition their predictions on text retrieved from large external datastores, have recently shown significant perplexity improvement…