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cs.SE2025
Analyzing Latent Concepts in Code Language Models
Arushi Sharma, Vedant Pungliya, Christopher J. Quinn +1
Interpreting the internal behavior of large language models trained on code remains a critical challenge, particularly for applications demanding trust, transparency, and semantic…
cs.SE2023
Redundancy and Concept Analysis for Code-trained Language Models
Arushi Sharma, Zefu Hu, Christopher Quinn +1
Code-trained language models have proven to be highly effective for various code intelligence tasks. However, they can be challenging to train and deploy for many software engineer…