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tudragon154203 Claude Happy commited on
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evals: fix conclusion accuracy claim to match Pass 2 ground_truth results
Browse files- Updated '62.5pp' → '5.0pp' to reflect actual 12.5% → 17.5% gain
Generated with [Claude Code](https://claude.ai/code)
via [Happy](https://happy.engineering)
Co-Authored-By: Claude <noreply@anthropic.com>
Co-Authored-By: Happy <yesreply@happy.engineering>
evals/REPORT-minimax-m3-2026-06-15.md
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@@ -51,7 +51,7 @@ minimax-m3 chokes on long noisy context. Headroom strips noise → model focuses
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## 3. Conclusion
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- **Long context:
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- **LCB codegen: mixed.** Token savings real (38.8%) but 1 real regression traced to user-message compression. Disabling that flag = noise floor only.
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- **Recommendation:** Enable headroom for long-context / tool-output / RAG workloads. Keep `compress_user_messages=False` for codegen prompts where the problem statement must stay verbatim.
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## 3. Conclusion
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- **Long context: modest win.** 22% token savings + 5.0pp accuracy gain. No regressions.
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- **LCB codegen: mixed.** Token savings real (38.8%) but 1 real regression traced to user-message compression. Disabling that flag = noise floor only.
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- **Recommendation:** Enable headroom for long-context / tool-output / RAG workloads. Keep `compress_user_messages=False` for codegen prompts where the problem statement must stay verbatim.
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