Schmidt Sciences-funded project led by Michigan State associate professor Sijia Liu with co-PIs Zhangyang Wang (UT Austin) and Huan Zhang (UIUC), on reasoning model safety within the test-time compute paradigm.
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Received $250k from 1 funder
Checked 27 Oct 2026
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1 grant totalling $250k, newest first.
2025 1 grant · $250k
| Date | Funder | Amount | Purpose |
|---|---|---|---|
| 2025 | Science of Trustworthy AI | ~$250k | Science of Trustworthy AI — Inference-Time Compute (2025 cohort): Toward Safe Reasoning: Test-Time Unlearning of Sensitive Knowledge Beyond Final Answers — inference-time compute safety cohort; per-project amount undisclosed (RFP cap $500K). PIs per Caroline. — Science of Trustwo source |