Research group·Madison, United States
“Ultimately, our goal is to develop AI systems whose behaviors can be rigorously understood and predicted, enabling principled control throughout the model lifecycle.”In its own words: pages.cs.wisc.edu
Alignment researchEvaluationsAcademic

Sharon Li's group at UW-Madison works on the foundations of reliable intelligence: learning systems that know the limits of their competence and make reliable decisions in the open world, currently focusing on reliable LLM and agentic systems.

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Received $2M from 3 funders

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Led by Sharon Yixuan Li (PI)Checked 26 Oct 2026

Money flows

Where its money came from and where it went. Pick years and what to show; hover a box or ribbon for details, click one to focus it, click the background to see everything.

All grants

5 grants totalling $2M, newest first.

2025 4 grants · $1.2M
DateFunderAmountPurpose
Jul 2025Coefficient Giving$294kStudy on Inductive Biases of LLMs (Sharon Li) source
Jul 2025Coefficient Giving$253kNon-Linear Probes for Feature Discovery & Steering (Sharon Li) source
11 Feb 2025Science of Trustworthy AI~$370kScience of Trustworthy AI — AI Safety Science (Feb 2025 cohort): Project: A Conformal Safety Assurance Framework for Large Language Models. One of 27 AI Safety Science awards; per-project amount undisclosed. — Science of Trustworthy AI — AI Safety Science (Feb 2025 cohort) source
2025Science of Trustworthy AI~$250kScience of Trustworthy AI — Inference-Time Compute (2025 cohort): Project: Reasoning with Foresight: Safe Inference via Q-Value Guided Decoding. Inference-time compute safety cohort; per-project amount undisclosed (RFP cap $500K). Note: second Schmidt Sciences trustworthy-AI awar source
2023 1 grant · $793k
DateFunderAmountPurpose
Sep 2023NSF Safe Learning-Enabled Systems$793kNSF SLES award 2331669: Foundations of Safety-Aware Learning in the Wild. Estimated total award; 2023 cohort (NSF 23-562, $10.9M announced 31 Oct 2023); programme run with Open Philanthropy and Good Ventures source