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cs.CL2025
Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing
Reilly Raab, Mike Parker, Dan Nally +4
The advent of language models (LMs) has the potential to dramatically accelerate tasks that may be cast to text-processing; however, real-world adoption is hindered by concerns reg…
cs.IR2025
Evaluating the Robustness of Dense Retrievers in Interdisciplinary Domains
Sarthak Chaturvedi, Anurag Acharya, Rounak Meyur +3
Evaluation benchmark characteristics may distort the true benefits of domain adaptation in retrieval models. This creates misleading assessments that influence deployment decisions…