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OpenCompass Hub
OPT-BENCH
OPT-BENCH is a comprehensive benchmark designed to evaluate large language model (LLM) agents on large-scale search space optimization problems, focusing on their iterative reasoning and problem-solving capabilities.
Evaluation context and evidence
- Source
- OpenCompass Hub
- Publisher
- Tong Ji University , ShanghaiAILab , Nanjing University , Zhejiang University
- Benchmark release
- 2025-06-12
- Collected
- 2026-08-18
- Modality
- Not recorded
These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.
Original sources
Reported results 0
This source record has no numeric results in our collection. That does not mean a score of zero or that no public results exist. Consult the original resources above.