Aviral Kumar
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| title | conference | date |
|---|---|---|
| The Key Ingredients of Optimizing Test-Time Compute and What's Still Missing | The Future of Language Models and Transformers 2025 | 2025-03-31 |
Formalizes optimizing test‑time compute as meta reinforcement learning and measures success by cumulative regret over long output streams, not just final 0/1… | ||
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