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Zhiyuan Jerry Lin

@ItsMrLin

Research Scientist @Meta Applied AI, ex-CAS/CDS. Human-in-the-loop optimization, Bayesian methods, and sample-efficient learning from feedback. Stanford CS PhD.
Views my own. ItsMrLin.com Joined January 2013
907 Following 596 Followers 288 Posts

Latest posts 5

Zhiyuan Jerry Lin @ItsMrLin
“I like this direction, but it’s optimizing the wrong notion of good.”

#ICML2026: we are presenting LILO: Bayesian optimization w/ language feedback on Thur (7/9), 10:30–12:15 Hall A #3612
icml.cc/virtual/2026/p…

Grounded route to language-guided agent improvement. Let's chat.
Katarzyna (Kasia) Kobalczyk @kasia_kobalczyk Jun 22
Preference optimization often reduces feedback to comparisons or rankings

But decision makers often know more than “A >> B”

They can explicitly state their preferences and priors in words

LILO is a new framework turning such feedback into signal for Bayesian Optimization

🧵
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Zhiyuan Jerry Lin @ItsMrLin
Excited to present LILO at #ICML2026.

One lens: a principled auto-research-style harness built on Bayesian optimization. LLMs surface deep prior knowledge and capture language feedback; BO turns it into uncertainty-aware search/exploration.

I’ll be at the poster. Let’s chat!
Katarzyna (Kasia) Kobalczyk @kasia_kobalczyk Jun 22
Preference optimization often reduces feedback to comparisons or rankings

But decision makers often know more than “A >> B”

They can explicitly state their preferences and priors in words

LILO is a new framework turning such feedback into signal for Bayesian Optimization

🧵
View quoted post on X