Add optimizer.slow_update_gate_with_selection to control how epoch-boundary
slow-update guidance is applied:
- false (default): force-injected - inject guidance into current & best
unconditionally (unchanged behavior).
- true: gated - evaluate the slow-update candidate on the selection set and
accept/reject via the same validation gate as step-level updates
(logic follows the SkillReflection ablation).
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Remove sealqa, babyvision, mathverse, mmrb, swebench envs and configs.
Remove deep_probe, deep_reflect, meta_reflect modules and prompts.
Remove download_babyvision script.
These are not part of the core released benchmarks.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
- Skill optimization framework with training loop analogy
- 11 benchmarks, 4 model backends (Azure OpenAI, Claude, Codex, Qwen)
- WebUI for browser-based training control
- Pluggable architecture for extending benchmarks and backends
