Existing scientific software can generate verified training tasks for terminal agents

The authors reconstruct 500 executable workflows from observed behavior, then use successful reconstructions to improve a terminal-agent model.

Independent
Zhongzhi Li · Yucheng Shi · Zongxia Li · Junyao Yang · Ruhan Wang · Yu Wang · +5 more
Research Digest··2 min read
Li and colleagues introduce software-in-the-loop reconstruction, a self-supervised method that turns existing scientific programs into terminal-agent tasks without requiring a separately written reference solution for every task.

The authors treat each existing software workflow as a hidden program mapping structured inputs to outputs.

Why this paper

Independent

In one line

Existing scientific software workflows provide self-supervised training data for terminal agents via software-in-the-loop reconstruction.

What we could check

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  • ✓Limitations stated by the authors (2 noted)
  • ✓Reports numbers on named benchmarks (2 benchmarks)

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Research Digest

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