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cs.AI2026

A Self-Evolving Agentic System for Automated Generation and Execution of Biological Protocols

Yankai Jiang, Weiting Tang, Haoran Sun +11

Autonomous wet-lab experimentation requires more than plausible protocol text: biological intent, quantitative procedures, device constraints and experimental feedback must remain…

cs.AI2026

MolClaw: An Autonomous Agent with Hierarchical Skills for Drug Molecule Evaluation, Screening, and Optimization

Lisheng Zhang, Lilong Wang, Xiangyu Sun +14

Computational drug discovery, particularly the complex workflows of drug molecule screening and optimization, requires orchestrating dozens of specialized tools in multi-step workf…

cs.AI2026

Sci-CoE: Co-evolving Scientific Reasoning LLMs via Geometric Consensus with Sparse Supervision

Xiaohan He, Shiyang Feng, Songtao Huang +3

Large language models (LLMs) have demonstrated exceptional reasoning capabilities, and co-evolving paradigms have shown promising results in domains such as code and math. However,…

cs.AI2026

Unleashing Scientific Reasoning for Bio-experimental Protocol Generation via Structured Component-based Reward Mechanism

Haoran Sun, Yankai Jiang, Zhenyu Tang +8

The foundation of reproducible science lies in protocols that are precise, logically ordered, and executable. The autonomous generation of these protocols through natural language…

cs.AI2026

SciEvalKit: An Open-source Evaluation Toolkit for Scientific General Intelligence

Yiheng Wang, Yixin Chen, Shuo Li +33

We introduce SciEvalKit, a unified benchmarking toolkit designed to evaluate AI models for science across a broad range of scientific disciplines and task capabilities. Unlike gene…

cs.AI2025

SCP: Accelerating Discovery with a Global Web of Autonomous Scientific Agents

Yankai Jiang, Wenjie Lou, Lilong Wang +17

We introduce SCP: the Science Context Protocol, an open-source standard designed to accelerate discovery by enabling a global network of autonomous scientific agents. SCP is built…