9 citations · 21 across the 11 of their papers we have counts for
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cs.CL2026
Tampered ML: Evaluating LLM Judgment of Machine Learning Research
Soroush Ebadian, Parand A. Alamdari, Joe Benton +1
One approach to accelerating progress on AI alignment is to automate parts of alignment research itself. Doing so requires systems that can perform reliably on hard-to-supervise re…
cs.LG2026
Efficiently Aligning Language Models with Online Natural Language Feedback
Christine Ye, Joe Benton
Reinforcement learning with verifiable rewards has been used to elicit impressive performance from language models in many domains. But, broadly beneficial deployments of AI may re…