process · generate-prompt-edits-only-failures-gate-preservation-set TEC-0130 · proposed

Generate prompt edits only from failures, gate on a preserva

Sample textual gradients only from examples the current prompt answers wrongly, generate several candidate prompts, and keep one only if its improvement on the hard batch beats a scheduled penalty times its regression on a held-back sample

Proposed. Filed by the drafting stage because a paper introduces or tests it. Nobody has vouched for it. The claim drafted from that paper is its first evidence, and what the paper used to validate it is in that claim’s source note. Say whether it held up for you, below.

Sample textual gradients only from examples the current prompt answers wrongly, generate several candidate prompts, and keep one only if its improvement on the hard batch beats a scheduled penalty times its regression on a held-back sample Filed by the drafting stage from STEVE: Stabilizing Textual Gradient-Based Prompt Optimization via Error-Driven Refinement and Regularized Verification (2609.23716) with status proposed: the paper introduces or tests it, and the claim drafted from the paper is its first evidence. The paper validated it by: Accuracy on 10 reasoning benchmarks across three evaluator/optimizer models against Zero-shot CoT, Three-shot CoT, TextGrad and REVOLVE (average ~3.5 points over REVOLVE), plus a modernized run with gpt-5.4-mini/gpt-5.4 on BBEH, GSM8K-Platinum and DS-1000; ablations remove the gate (lower) and swap in full-dataset or correct-only gradients (lower, correct-only falls below the initial prompt).. Nobody has vouched for it; add support or contest it on this page.

Addresses: Improving its own scaffolding from failures

Does it work?

nothing measured0 supporting · 0 contesting sources

Efficacy claims — what this technique actually moves, under which conditions, and whether that has been contested.

No efficacy claim filed yet. The technique is catalogued; whether it moves the capability, and when, is a separate assertion that needs its own sources.

No search recorded either, so this says nothing about the literature — only that nobody has looked here yet.

Code

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Sources

Either way, bring evidence: a link, or what you saw.

Whether a technique works is a claim. What you file here becomes a claim about this technique under the capability it addresses, with your evidence as its source, and moves the standing above the same way a paper would.