UC San Diego computer scientists studying faithfulness of LLM reasoning via code execution and debugging.
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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): A Dual-Framework for Grounding AI Reasoning: Measuring Faithfulness via Code Execution and Debugging — inference-time compute safety cohort; per-project amount undisclosed (RFP cap $500K). PIs per Caroline. — Scien source |