Astana time
AI QAZAQSTANKZ · AIBeta

Smart portal about artificial intelligence and high technology in Kazakhstan

Research1 min read

From the original source:

arXiv — cs.AI

Read full article at arXiv — cs.AI

AdaPRA: Process Reward Agents with Adaptive Rubrics for Data Science

arXiv:2610.33245v1 Announce Type: new Abstract: Data science agents can automate end-to-end machine learning workflows, yet they remain far from competitive on human leaderboards. Agents make process errors such as insufficient exploration, unsound validation, coding bugs, and…

arXiv — cs.AIBy: Atharva Naik, Vivek Chari, Pol Llado, Daniel Fried, Carolyn Ros\'e, Benjamin Van Durme, Sam Thomson, Justin SvegliatoOctober 27, 2026 (yesterday)
Available in 4 languages

AI Summary & Key Takeaways

  • arXiv:2610.33245v1 Announce Type: new Abstract: Data science agents can automate end-to-end machine learning workflows, yet they remain far from competitive on human leaderboards
  • Agents make process errors such as insufficient exploration, unsound validation, coding bugs, and…
Research
KZ·AI 2166
Инсайт дня

AdaPRA: Process Reward Agents with Adaptive Rubrics for Data Science

Share:

Related stories

Deepseek crushed everyone

Deepseek crushed everyone

Deepseek's latest model flew under the radar, and it is the best open- source model on the planet. The first thing I wanted to test combines a few different capabilities, including its ability to generate 3D models, spatial awareness, internal knowledge the model has in its…

YouTube — Matthew Berman

Back to list