Parameter Golf with AutoResearch — Vayum Arora, Zhengyao Jiang, Dixing Xu & Dhruv Srikanth, Weco AI
Zhengyao Jiang introduces autoresearch as repeated proposals and evaluations, and Dixing Xu explains the team's Aiden system and its contributions to OpenAI's Parameter Golf challenge.
Proof1 independent outlet
Key points
- An agent keeps the code changes that improve a language model's score and discards the rest.
- Weco AI turns that research loop into a workshop, using Mini Parameter Golf to make training experiments small enough to inspect as they run.
- The walkthrough focuses on what determines whether the search is useful: fast and stable evaluations, a clear direction for the metric, time limits, initial guidance and protection against reward hacking.
- 0:00 - Presenters and the autoresearch loop
Sources (1)
- [1]Parameter Golf with AutoResearch — Vayum Arora, Zhengyao Jiang, Dixing Xu & Dhruv Srikanth, Weco AIAI Engineer (YouTube) · Oct 11, 09:00 PM
Zhengyao Jiang introduces autoresearch as repeated proposals and evaluations, and Dixing Xu explains the team's Aiden system and its contributions to OpenAI's Parameter Golf challenge.
An agent keeps the code changes that improve a language model's score and discards the rest.
Extractive summary: sentences quoted from the sources.
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