Terminal agents verify often but miss and mishandle many errors

A diagnostic study separates verification attempts, error detection and repair, then improves the latter stages through teacher distillation conditioned on student-generated solutions.

Chinese Tech
Yingfeng Luo · Shaowei Wei · Daixin Wang · Dingyang Lin · Kaiyan Chang · Weiqiao Shan · +4 more

Northeastern University · Inclusion AI, Ant Group · University of Maryland, College Park

Research Digest··2 min read
Luo et al.

The authors developed a framework for analyzing self-verification at the solution level.

Why this paper

From Inclusion AI, Ant Group and 2 others · Part of Process Agent Benchmarks, now 8 papers

In one line

Agents self-verify almost always but detect only 61.43% of errors and repair only 49.36% of those; SCVD improves outcomes.

What we could check

  • ·No code link found
  • ·No weights link found
  • ·No dataset link found
  • ·No compute details found
  • ·No stated limitations found
  • ✓Reports numbers on named benchmarks

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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