Sage-Taiyi tops Taiyi-Bench and reports chemistry yield gains
First merged summary.
Authors introduce Sage-Taiyi, which leads Taiyi-Bench at 54.0 versus 47.9 and reports two chemistry yield gains.
Researchers introduce Sage-Taiyi, a metacognition-inspired system that revises evidence, assumptions, and open questions before choosing research targets and reusable methods. On Taiyi-Bench, 265 tasks from 50 papers across ten disciplines, they say it ranks first on all eight historical-rediscovery and open-ended ideation metrics, scoring 54.0 overall against 47.9 for AI Scientist-v2. Five expert-guided collaborations link proposals to experimental and computational validation in chemistry, materials science, and engineering. Reported yields rose from trace amounts to 84% for cobalt-catalyzed carbonylation and from 13% to 69% for photocatalytic allylic amination. The authors also say it performs well on two external ideation benchmarks.
- Taiyi-Bench covers 265 tasks from 50 papers in ten disciplines.
- Sage-Taiyi scores 54.0 overall versus 47.9 for AI Scientist-v2.
- Authors say it ranks first on all eight ideation metrics.
- Five expert collaborations span chemistry, materials science, and engineering.
- Reported carbonylation yield rose from trace amounts to 84%.
- Reported allylic amination yield rose from 13% to 69%.
What each outlet adds
beyond the shared facts- Hugging Face daily papersNames materials science and engineering plus experimental and computational validation.
- arXivAttributes the ranking, external-benchmark results, and yield gains to the authors.
- Products
- Taiyi-BenchAI Scientist-v2
- AI models
- Sage-TaiyiAI Scientist-v2
Coverage
oldest first · one row per article · UTC- · 3d ago
Hugging Face daily papersFirst report
Sage-Taiyi leads scientific ideation benchmarks via metacognitive control
It scores 54.0 overall on Taiyi-Bench against 47.9 for AI Scientist-v2, and chemistry work raised two yields to 84% and 69%.
- · 2d ago
arXiv cs.AI / cs.LG / cs.CL
Sage-Taiyi leads Taiyi-Bench scientific ideation scores
It scores 54.0 overall versus 47.9 for AI Scientist-v2, and authors report chemistry yield gains in collaborations.