arXiv:2602.12984v2 Announce Type: replace Abstract: Scientific reasoning inherently demands integrating sophisticated toolkits to navigate domain-specific knowledge. Yet, current benchmarks largely overlook agents' ability to orchestrate tools for such rigorous workflows. To bridge this gap, we introduce SciAgentGym, a scalable interactive environment featuring 1,780 domain-specific tools across four natural science disciplines, supported by a robust execution infrastructure. Complementing this, we present SciAgentBench, a tiered evaluation suite designed to stress-test agentic capabilities fr
The proliferation of Large Language Models (LLMs) and the increasing focus on their autonomous capabilities necessitate robust evaluation frameworks for complex tool use.
This development establishes a critical benchmark for the practical application and advancement of autonomous AI agents, enabling more rigorous testing and development of their tool orchestration abilities.
The ability to benchmark multi-step scientific tool-use will accelerate the development of more capable and reliable AI agents for complex scientific and white-collar workflows.
- · AI Agent Developers
- · Scientific Research Institutions
- · Software-as-a-Service (SaaS) Providers
- · AI Infrastructure Providers
- · Tasks requiring manual, repetitive multi-step processes
- · Legacy scientific software vendors with poor API integration
SciAgentGym provides a standardized environment and benchmark for evaluating LLM agents' ability to effectively use and orchestrate domain-specific tools across scientific disciplines.
This will lead to a rapid acceleration in the development of more sophisticated and generalizable AI agents capable of automating complex analytical and research tasks.
The widespread adoption of these agentic systems could fundamentally reshape scientific discovery processes and white-collar productivity, collapsing many existing SaaS layers into autonomous agents.
This signal links to a primary source. Continuum Brief monitors and indexes it as part of the live intelligence stream — we do not republish source content.
Read at arXiv cs.CL