Navers lab
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ReactionOptimisation Task 35 / 47

reizman_suzuki_pareto

Pareto optimization on the Reizman Suzuki emulator over catalyst choice and continuous conditions to improve conflicting chemical metrics. Multi-objective black-box search under chemistry-side constraints is scored through the benchmark's evaluator, mirroring co-design of recipe and operating point.

Model leaderboard

# Participant Score
1 GLM-5 100.0
2 Claude Opus 4.6 96.7
3 GPT-5.4 96.2
4 DeepSeek V3.2 95.1
5 Qwen3 Coder Next 92.2
6 SEED 2.0 Pro 83.1
7 Gemini 3.1 Pro Preview 81.9
8 Grok 4.20 0.0

Framework leaderboard

# Participant Score
1 GPT-OSS + OpenEvolve 100.0
2 Claude Opus 4.6 + OpenEvolve 44.0
3 Claude Opus 4.6 + ABMCTS 43.8
4 Claude Opus 4.6 + ShinkaiEvolve 36.8
5 GPT-OSS + ShinkaiEvolve 20.0
6 GPT-OSS + ABMCTS 0.0

Score is the normalized score for this task (0–100, higher is better).