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20162026
most citedEvaluating Large Language Models Trained on Code

1.5k citations · 1.7k across the 14 of their papers we have counts for

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cs.CL2026

The Dialect Tax: Dialectal Biases Persist throughout the Language Modeling Pipeline

Elle

Systematic dialectal performance gaps in language models (LMs) are well documented, but the source of these disparities within the modern language modeling pipeline remains unclear…

cs.CY2026

Toward Comprehensive Risk Assessments and Assurance of AI-Based Systems

Heidy Khlaaf

Novel safety, socio-economic, and ethical harms arising from the deployment of AI-based systems have led to a breadth of work seeking to map, measure, and mitigate against newly fo…