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README: first -llm-judge results - #20

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Oct 13, 2026
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The six -llm-judge tasks, one trial each on 2026-10-13 (team and judge both Codex on gpt-6-luna, medium): per-scale 1-5 scores and the weighted reward, mean 0.41 at $0.24 per task. Per-trial CSV in research/results/llm-judge-2026-10-13.csv. Notes that these are new team runs, not the reviews the recall grader scored.

Copilot AI balanced review requested due to automatic review settings October 13, 2026 15:03
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🟢 Approval recommended

The documented figures are consistent with the CSV data and configured scoring weights.

0 open findings

What changed in this PR

Publishes the first six -llm-judge evaluation results and summarizes their methodology and outcomes.

Changes:

  • Adds per-task scores, token usage, and costs.
  • Documents aggregate results and key observations.
File Description
README.md Summarizes results and updates project status.
research/​results/​llm-judge-2026-10-13.csv Records per-trial evaluation data.

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Custom Code Review

No issues found on d830541.

codex-ci · gpt-6-luna · effort high · Codex 0.161.0

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Custom Code Review

No issues found on d830541.

What the change does
  • The README now reports results from six `-llm-judge` tasks run on 2026-10-13, including a reward summary, review costs, and task-level scores across five criteria.
  • It adds notes describing how the judge assessed findings, how test requests affected validity scores, and how these runs relate to the recall grader results.
  • The per-trial results link points to `research/results/llm-judge-2026-10-13.csv`.
  • The roadmap text now says the cross-model and `-llm-judge` results are above, with more models planned.

codex-ci · gpt-6-luna · effort high · Codex 0.161.0

@davidbzyk
davidbzyk merged commit 09747b6 into main Oct 13, 2026
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2 participants