ActiveSciBench-GRN (LLM-AutoSciLab): leaderboard
Metric: Exact graph accuracy (%; share of the 45 gene-regulatory-network tasks whose hidden signed causal graph is recovered exactly; budget-limited perturbation experiments driven by the LLM-AutoSciLab framework with this backbone). Source: arxiv.org. Saturation forecast: Estimated already saturated. 4 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-4o Mini | 31.11 |
| 2 | Qwen 3 32B | 25.88 |
| 3 | Qwen 3 14B | 22.34 |
| 4 | Qwen 3 4B | 21.78 |
Interactive version: theaggregate.ai/benchmark?slug=activescibench-grn-llm-autoscilab · How It Works · Data refreshed daily, snapshot 2026-09-26.