ResearchArena: Are AI Agents Ready for Scientific Discovery?
Find out why current AI agents fail at scientific rigor and why manuscript-only evaluation is misleading.
30-Second TL;DR
What Changed
ResearchArena tested Claude Code, Codex, and Kimi Code across 117 agent-generated papers.
Why It Matters
This study highlights that current AI agents are not yet autonomous researchers; they require human oversight to verify experimental substance and prevent hallucinated results.
What To Do Next
If building research agents, implement strict artifact-verification loops to catch fabricated data before finalizing any output.
Key Points
- •ResearchArena tested Claude Code, Codex, and Kimi Code across 117 agent-generated papers.
- •Manuscript-only reviews often overrate AI papers, failing to detect fabricated results or poor experimental design.
- •Artifact-aware reviews reveal major failure modes including fabricated references and plan/execution mismatches.
- •None of the 117 agent-generated papers met the acceptance standards for top-tier computer science venues.
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Original source: ArXiv AI ↗
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