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ResearchArena: Are AI Agents Ready for Scientific Discovery?

ResearchArena: Are AI Agents Ready for Scientific Discovery?
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๐Ÿ“„Read original on ArXiv AI

๐Ÿ’กFind out why current AI agents fail at scientific rigor and why manuscript-only evaluation is misleading.

โšก 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.

Who should care:Researchers & Academics

Key Points

  • โ€ขResearchArena tested Claude Code, Codex, and Kimi Code across 117 agent-generated papers.
  • โ€ขManuscript-only reviews often overrate AI papers, failing to detect fabricated results or poor experimental design.
  • โ€ขArtifact-aware reviews reveal major failure modes including fabricated references and plan/execution mismatches.
  • โ€ขNone of the 117 agent-generated papers met the acceptance standards for top-tier computer science venues.
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