research automation
7 notes, newest first.
ScholarCatalyst: A Benchmark for Retrieving Papers That Inspire New Research
The preprint builds a benchmark from judgments by 184 lead authors of 207 recent computer-science papers, who identified prior papers that advanced or could have advanced their projects and provided rationales. The…
Cogentic: Multi-Agent Orchestration for Automated Proof Discovery
The preprint describes an orchestrator that assigns independent provers to competing proof directions, uses specialized adversarial verification components, and promotes confirmed intermediate results into a persistent…
Recursive self-improvement of AI research agents
The preprint presents AIDE^2, a system that proposes code changes to an AI research agent, benchmarks modified versions on AI R&D tasks, and keeps changes that perform best on hidden evaluations. An autonomous…
BrainPilot: Automating Brain Discovery with Agentic Research
BrainPilot is a multi-agent system designed to accelerate brain science research using AI agents grounded in curated domain knowledge, traceable logs, and auditable records for transparency. The system is fully…
BrainPilot: Automating Brain Discovery with Agentic Research
BrainPilot is a multi-agent system developed by researchers for accelerating brain science research using AI agents. It includes a coordinating principal investigator (PI) agent, specialist agents grounded in curated…
BrainPilot: Automating Brain Discovery with Agentic Research
BrainPilot is a multi-agent system designed to accelerate brain science research by integrating evidence from various scales, modalities, and disciplines. It uses a unified brain science knowledge base containing over…
FARS: A Fully Automated Research System Deployed at Scale
The paper introduces FARS, a fully automated AI research system that can generate, execute, and write complete research papers on various AI/ML topics. In its first public deployment, FARS produced 166 papers while…
