Welcome to the InternScience organization, the open-source hub of AI for Science Center @Shanghai AI Laboratory. We focus on open-sourcing high quality Agents/LLMs/MLLMs, Tools, and Datasets to accelerate scientific discovery across disciplines. We contributed the following projects to the community:
Your dedicated research inspiration engine. An agent framework for generating high-quality, structured research ideas.
A unified evaluation toolkit and leaderboard for rigorously assessing the scientific intelligence of large language and vision–language models across the full research workflow.
MLEvolve is an open-source autonomous system for end-to-end machine learning algorithm design and optimization powered by progressive search and experience-driven memory.
InternAgent-1.5: A Unified Agentic Framework for Long-Horizon Autonomous Scientific Discovery
Sci-CoE: Co-evolving Scientific Reasoning LLMs via Geometric Consensus with Sparse Supervision
GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation
[ICLR 2026] Unleashing Scientific Reasoning for Bio-experimental Protocol Generation via Structured Component-based Reward Mechanism
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