Nicholas Roberts @nick11roberts

Ph.D. student @WisconsinCS. Working on foundation models and breaking past scaling laws. Previously at CMU @mldcmu, UCSD @ucsd_cse, FCC @fresnocity. nick11roberts.science Madison, WI Joined April 2012

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Sharon Zhou @realSharonZhou

2 days ago

More data ≠ 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.

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Jack Morris @jxmnop

2 weeks ago

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)

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Fred Sala @fredsala

a month ago

“Rubrics” have become a buzzword in AI, but the concept predates the hype. At @SnorkelAI, we’re excited to share a fun primer on what rubric‑based evaluation is—and why it’s critical for today’s generative and agentic models.

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Tzu-Heng Huang @zihengh1

2 months ago

LLM judges are powerful for automated evaluation but expensive and biased.📣 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.🚀 We'll present at ICML PRAL on Friday!

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Harit Vishwakarma @harit_v

2 months ago

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=w4c5bLk… Pseudolabeling-based SSL relies on the model’s confidence scores and…

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Harit Vishwakarma @harit_v

2 months ago

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. 📍 East…

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Harit Vishwakarma @harit_v

2 months ago

Excited to be at ICML’25!!! 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 with…

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Fred Sala @fredsala

2 months ago

Heading to #ICML! I’ll be representing SprocketLab at @UWMadison and @SnorkelAI. Reach out if you want to chat about data-centric AI, data development, agents, and foundation models.