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cs.LG2026
Reward Models Inherit Value Biases from Pretraining
Brian Christian, Jessica A. F. Thompson, Elle Michelle Yang +4
Reward models (RMs) are central to aligning large language models (LLMs) with human values but have received less attention than pretrained and post-trained LLMs themselves. Becaus…
cs.CL2026
Self-Blinding and Counterfactual Self-Simulation Mitigate Biases and Sycophancy in Large Language Models
Brian Christian, Matan Mazor
Fair decisions require ignoring irrelevant, potentially biasing, information. To achieve this, decision-makers need to approximate what decision they would have made had they not k…