Nicholas Roberts @nick11roberts
Ph.D. student @WisconsinCS. Working on foundation models and breaking past scaling laws. Previously CMU @mldcmu, UCSD @ucsd_cse, FCC @fresnocity. š¤š¤Øš§ e/hmm nick11roberts.science Madison, WI Joined April 2012-
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Just read this new paper from Anthropicās very own Claude called āA Mathematical Theory of Communicationā and my brain is broken š¤Æ
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Nicholas Roberts retweeted
More data ā better fine-tuning. Sometimes the 'undertrained' model is more useful because it's still plastic. We need to map the capability vs. adaptability frontier better.
Nicholas Roberts retweeted
first i thought scaling laws originated in OpenAI (2020) then i thought they came from Baidu (2017) now i am enlightened: Scaling Laws were first explored at Bell Labs (1993)
Nicholas Roberts retweeted
āRubricsā have become a buzzword in AI, but the concept predates the hype. At @SnorkelAI, weāre excited to share a fun primer on what rubricābased evaluation isāand why itās critical for todayās generative and agentic models.
Nicholas Roberts retweeted
LLM judges are powerful for automated evaluation but expensive and biased.š£ Meet PAJAMA, a new framework that distills LLM judging logic into a compact, executable form (a new representation), cutting costs from thousands to just cents.š We'll present at ICML PRAL on Friday!
Nicholas Roberts retweeted
Next up this morning at #ICML2025, we will be presenting our work on pseudolabeling-based semi-supervised learning (SSL). East Exhibition Hall A&B # E-1304, 11 am to 1:30 pm Paper: openreview.net/pdf?id=w4c5bLkā¦ Pseudolabeling-based SSL relies on the modelās confidence scores andā¦
Nicholas Roberts retweeted
Join us today in the morning poster session at #ICML2025. We will talk about some neat ways for reducing uncertainty and improving LLM accuracy at test-time on multi-choice tasks (e.g., tool selection) using conformal prediction and an additional inference round. š Eastā¦
Nicholas Roberts retweeted
Excited to be at ICMLā25!!! I'll present papers on improving LLM inference and evaluation and pseudolabeling-based semi-supervised learning. Come and say hi during these sessions, or chat anytime during the week! [C1]. Prune 'n Predict: Optimizing LLM Decision-making withā¦
Nicholas Roberts retweeted
Heading to #ICML! Iāll be representing SprocketLab at @UWMadison and @SnorkelAI. Reach out if you want to chat about data-centric AI, data development, agents, and foundation models.
Zachary Lipton @zacharylipton
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521 Followers 564 Following Technical Advisor to the CEO @MicrosoftAI. Previously Neurosymbolic PhD @JhuCogsci, intern @ibmresearch and @msftresearch, and software @fitbit and @Google.
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