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He He
@hhexiy
NLP researcher. Assistant Professor at NYU CS & CDS.
Joined December 2016
Giving my first agent talk at MIT's NLP seminar (virtually) next Wednesday. First time I'm focusing less on results and more on the process that got me there. Feels strange and a little like growing up. Abstract: Over the past few months, agents have changed the way I do- @haizelabs is one of the few truly tackling the hard problem of LLM eval and oversight. Excited to support their mission!We are thrilled to welcome Professor He He @hhexiy as an advisor to the Haize Labs team! Professor He leads a group at NYU focused on evaluation, scalable oversight, human–AI collaboration, and reasoning.
- Reward hacking means the model is making less effort than expected: it finds the answer long before its fake CoT is finished. TRACE uses this idea to detect hacking when CoT monitoring fails. Work led by @XinpengWang_ @nitishjoshi23 and @rico_angell👇This Post is from an account that no longer exists. Learn more
- Come to Nick's poster if you're at #COLM2025 and learn about how to run LLM experiments the scientific way!
