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One Structured Call Replaced a Long Repair Loop

A constrained intermediate representation cut token use in optimization autoformulation tests.

Published Updated Story ID: mp-2026-08-05-017
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Summary

A constrained intermediate representation cut token use in optimization autoformulation tests.

IR2Solve asks a language model for a schema-constrained model representation, then verifies and compiles it deterministically. On a matched ten-instance panel, the authors report one semantic call per problem versus 8 and 39 for two comparison systems, using 3.3 and 22.9 times less token volume. The evaluation covers cleaned benchmarks, not arbitrary industrial specifications.

Why it matters

A constrained intermediate representation cut token use in optimization autoformulation tests.

Limits and context

  • The evaluation covers cleaned benchmarks, not arbitrary industrial specifications.

Key claims

  1. A constrained intermediate representation cut token use in optimization autoformulation tests.

    Qualification: The evaluation covers cleaned benchmarks, not arbitrary industrial specifications.

    Evidence: source-2026-08-05-019

Sources

  1. arXiv preprint 2608.02641arXiv · primary research

Corrections

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