{
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  "path": "/t/wrong-intent-inference-benchmark-v0-8-full-english-80-case-result/1381031#post_1",
  "publishedAt": "2026-05-15T22:34:08.000Z",
  "site": "https://community.openai.com",
  "tags": [
    "GitHub - pneqnp-iswr/strict-intent-bench: Benchmark and static demo for wrong intent inference in AI assistants, with Strict / Precision behavior as a tested intervention. · GitHub",
    "github.com",
    "GitHub - pneqnp-iswr/strict-intent-bench: Benchmark and static demo for wrong intent...",
    "pneqnp-iswr.github.io",
    "strict-intent-bench"
  ],
  "textContent": "Follow-up to my earlier post about wrong intent inference.\n\nI published a v0.8 update for `strict-intent-bench`, a benchmark-first repo focused on cases where an assistant gives a plausible answer, but to the wrong implied question.\n\nThe new result is an English v0.3 full 80-case run.\n\nMetric | Baseline | Strict / Precision v13\n---|---|---\nAction accuracy | 38.8% | 66.2%\nWrong intent inference | 37.5% | 5.0%\nMetadata unnecessary clarification | 15.0% | 11.2%\nMissing needed clarification | 30.0% | 15.0%\n\nThe current best intervention is `Strict / Precision v13`.\n\nThe main result is not “strict prompting solves this.” It does not. The stronger claim is narrower:\n\nA stricter action-selection policy can substantially reduce wrong intent inference while still exposing a real clarification trade-off.\n\nI also tested later prompt variants. Some improved targeted failure cases, but regressed on broader checks, so v13 remains the current public champion.\n\nMain remaining weak spots:\n\n  * short fragments;\n  * ask-clarification vs topic-selection boundaries;\n  * continue-pending-task cases;\n  * automated grader noise.\nRepo:\nGitHub - pneqnp-iswr/strict-intent-bench: Benchmark and static demo for wrong intent inference in AI assistants, with Strict / Precision behavior as a tested intervention. · GitHub\n\n\n\nThe repo includes the benchmark data, prompt variants, evaluation runner, full reports, and the v0.8 decision summary.\n\nRepo:\n\ngithub.com\n\n### GitHub - pneqnp-iswr/strict-intent-bench: Benchmark and static demo for wrong intent...\n\nBenchmark and static demo for wrong intent inference in AI assistants, with Strict / Precision behavior as a tested intervention.\n\nLive demo:\n\npneqnp-iswr.github.io\n\n### strict-intent-bench",
  "title": "Wrong intent inference benchmark v0.8: full English 80-case result"
}