2 citations · 5 across the 10 of their papers we have counts for
4 papers · 1 filter
Sharding Prevents LLM Oversight Failures and Adversarial Exploitation
Victor Akinwande, J. Zico Kolter, Aran Nayebi
Giving an LLM judge more compute does not necessarily make it check more requirements. When one call must return many verdicts, some decisions become weakly grounded in the evidenc…
Tactile Genesis: Exploring Tactile Sensors at Scale for Learning Dexterous Tasks
Trinity Chung, Kashu Yamazaki, Dhruv Patel +4
Tactile sensing is critical for contact-rich dexterous manipulation, yet it remains unclear which tactile abstractions a policy needs and when richer tactile fields justify their h…
ROGUE: Evaluating Corrigibility Failures in Frontier Computer-Use Agents
Jeremy Tien, Abishek Anand, Yu-Rou Tuan +3
As AI agents are increasingly deployed in real personal and corporate settings (email accounts, development workflows, company databases, etc.), safety considerations surrounding t…
What Capable Agents Must Know: Selection Theorems for Robust Decision-Making under Uncertainty
Aran Nayebi
As artificial agents become increasingly capable, what internal structure is necessary for an agent to act competently under uncertainty? Classical results show that optimal contro…