Democratizing AI scientists with ToolUniverse
InternAgent-1.5: A Unified Agentic Framework for Long-Horizon Autonomous Scientific Discovery
We propose Reinforcement Learning from Community Feedback (RLCF), a training paradigm that uses large-scale community signals as supervision, and formulate scientific taste learning as a preference modeling and alignment problem.
(ACL-2025 main conference) Dolphin: Moving Towards Closed-loop Auto-research through Thinking, Practice, and Feedback
Turning AI-assisted findings into trustworthy science
A multi-agent AUTO Research loop for idea discovery, experiment execution, evidence-grounded paper writing, quality audit, and live Web observation from AI group, CNIC, CAS.
AI/DeepLearning Star Scientists
Add a description, image, and links to the ai-scientists topic page so that developers can more easily learn about it.
To associate your repository with the ai-scientists topic, visit your repo's landing page and select "manage topics."