63 citations · 80 across the 15 of their papers we have counts for
3 papers · 1 filter
Automated Concept Discovery for LLM-as-a-Judge Preference Analysis
James Wedgwood, Chhavi Yadav, Virginia Smith
Large Language Models (LLMs) are increasingly used as scalable evaluators of model outputs, but their preference judgments exhibit systematic biases and can diverge from human eval…
Evaluating Deep Unlearning in Large Language Models
Ruihan Wu, Chhavi Yadav, Russ Salakhutdinov +1
Machine unlearning has emerged as an important component in developing safe and trustworthy models. Prior work on fact unlearning in LLMs has mostly focused on removing a specified…
Keeping Up with the Language Models: Systematic Benchmark Extension for Bias Auditing
Ioana Baldini, Chhavi Yadav, Manish Nagireddy +2
Bias auditing of language models (LMs) has received considerable attention as LMs are becoming widespread. As such, several benchmarks for bias auditing have been proposed. At the…