6 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.LG2023
PEFTDebias : Capturing debiasing information using PEFTs
Sumit Agarwal, Aditya Srikanth Veerubhotla, Srijan Bansal
The increasing use of foundation models highlights the urgent need to address and eliminate implicit biases present in them that arise during pretraining. In this paper, we introdu…
cs.SE2023★ 6 cited
CodeBERTScore: Evaluating Code Generation with Pretrained Models of Code
Shuyan Zhou, Uri Alon, Sumit Agarwal +1
Since the rise of neural natural-language-to-code models (NL->Code) that can generate long expressions and statements rather than a single next-token, one of the major problems has…