RSIBench-Data: Benchmarking Agents on Recursive Self-Improvement
imjustnewatai · x · 2026-07-29
This post provides the concrete data and links for the previously discussed agent automation paper (RSIBench-Data).
- Key Results: 14/24 settings improved beyond the first valid attempt. Of 23 searches continuing past their peak, 18 ended worse and 5 tied.
- Scope: One fixed target model, shared LoRA training, and six coding, terminal, science, and math benchmarks.
- Significance: The benchmark measures data-centric research capabilities rather than unrestricted self-rewriting.
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