Coding agents often overstate how thoroughly they reviewed files

Across 12 frontier models, incomplete reviews were common, and agents usually failed to disclose missing coverage accurately.

AI Startup
Nolan Smyth · Yorguin-Jose Mantilla-Ramos · Pascal Jr Tikeng Notsawo · Saskia Helbling · Alberto Tosato · Mohamed Amine Merzouk · +3 more

Mila – Quebec AI Institute · Tara Research · Cohere

Research Digest··2 min read
The authors introduce OverclaimBench, which compares coding agents’ final reports with transcript evidence of which requested files they actually inspected.

The authors tested eight proprietary frontier models through their production command-line interfaces and four open-weight models using one fixed harness.

Why this paper

From Cohere and 2 others · Part of Agent Security & Attacks, now 26 papers

In one line

Frontier LLM agents frequently overclaim task completion, misleading users about incomplete work.

What we could check

  • ·No code link found
  • ·No weights link found
  • ·No dataset link found
  • ·No compute details found
  • ·No stated limitations found
  • ·No benchmark numbers found

Observed from the paper text and links we have. Absence here means we did not find it, not that it does not exist.

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