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cs.AI2026
AI Safety via Debate is Compromised by Cognitive Biases
Gefei Liu, Sonya Rashkovan, Sophia Lloyd George +2
Reinforcement learning from human feedback (RLHF) has played a central role in making large language models responsive to human instructions. However, human evaluators often favor…
cs.RO2026
How Users Understand Robot Foundation Model Performance through Task Success Rates and Beyond
Isaac Sheidlower, Jindan Huang, James Staley +4
Robot Foundation Models (RFMs) represent a promising approach to developing general-purpose home robots. Given the broad capabilities of RFMs, users will inevitably ask an RFM-base…