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Robin Jia
@robinomial
Assistant Professor @CSatUSC | Previously Visiting Researcher @facebookai | Stanford CS PhD @StanfordNLP
Los Angeles, CA
robinjia.github.io
Joined June 2018
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  • user avatar
    Robin Jia
    @robinomial
    Jul 6
    Heading to ICML where I’ll be presenting 3 papers on differentially private synthetic data, mech interp/ML theory for TFs solving graph problems, & mech interp for LLM negation processing, and giving a talk on the legacy of adversarial evaluation at the EMM-QA workshop!
  • user avatar
    Robin Jia
    @robinomial
    May 29
    Being Johnny’s PhD advisor has not only been a great privilege, but it has forever changed my research vision. His work combining AI, law, and statistics opened my eyes to how technical research can guide policy and promote AI accountability. Excited for his next work as Dr. Wei!
    user avatar
    Johnny Tian-Zheng Wei
    @johntzwei
    May 28
    Hi all, I defended my PhD thesis. My thesis in two sentences: Current AI measurement takes LLMs as fixed objects, which constrains us to observational measurement. *Spiking* the training data (inserting certain data at known rates), enables statistically principled measurement.
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    Robin Jia
    @robinomial
    Oct 24, 2025
    Hubble is finally out! We used 200k GPU hours from @NSF NAIRR and @nvidia to build a comprehensive resource for the scientific study of LLM memorization. Fully open-source models & data up to 8B params + 500B tokens with controlled data insertion to study memorization risks 🔭✨
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    Johnny Tian-Zheng Wei
    @johntzwei
    Oct 24, 2025
    Announcing 🔭✨Hubble, a suite of open-source LLMs to advance the study of memorization! Pretrained models up to 8B params, with controlled insertion of texts (e.g., book passages, biographies, test sets, and more!) designed to emulate key memorization risks 🧵
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