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cs.CL2026
RPAM: A Principled Metric for Evaluating Associations in Language Models with High Predictive Validity in Downstream Outputs
Damian Hodel, Jevin West, Aylin Caliskan
Language models (LMs) exhibit problematic biases, such as stereotypes. Effectively analyzing and mitigating such biases requires accurate and generalizable evaluation methods of th…
cs.CL2026
Training LLMs with Reinforcement Learning for Intent-Aware Personalized Question Answering
Maryam Amirizaniani, Benjamin Charles Germain Lee, Jevin West +1
Effective personalized question answering (PQA) in language models requires grounding responses in the user's underlying intent, where intent refers to the implicit ``why'' behind…