InnovationEval
Not in model cards
Agents with thousands of GPU hours try to discover an ML technique that matches a recent human paper they have not seen. The score is the share of that paper's gain the agent reaches.
First iteration targets Self-Distillation Policy Optimization (SDPO). GPT-5.6 Sol reached at most 15% of SDPO gains at equal wall-clock time. Epoch plans to repeat it.
- Level
- Research frontier Researchers, on open problems or tasks that take days
- Scored
- Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
- Answers
- Agent task Many steps in a terminal, browser, desktop, app, game or robot.
No scores here yet
No lab, leaderboard or Epoch AI run has reported a score for InnovationEval yet.
No lab model card reports it yet
We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark.
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