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LLM-as-a-Verifier general-purpose verification framework using probabilistic verification and multi-round self-correction for improving LLM output reliability across reasoning, coding, and mathematical tasks.
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| name | llm-as-general-verifier |
| description | LLM-as-a-Verifier general-purpose verification framework using probabilistic verification and multi-round self-correction for improving LLM output reliability across reasoning, coding, and mathematical tasks. |
| category | ai-safety |
| trigger_words | ["LLM verifier","self-verification","probabilistic verification","LLM self-correction","verification framework","LLM reliability","multi-round verification","LLM confidence","verification-as-a-service","LLM quality assurance"] |
| arxiv_id | 2607.05391 |
| created | 2026-07-08T00:00:00.000Z |
This skill covers the LLM-as-a-Verifier (LLM-aV) general-purpose verification framework that uses probabilistic verification and multi-round self-correction for improving LLM output reliability across reasoning, coding, and mathematical tasks.
1. Generate initial answer
2. Verify with LLM-aV framework
3. If confidence < threshold, request correction
4. Re-verify corrected answer
5. Accept if confidence > threshold or max rounds reached
Keywords: LLM verifier, self-verification, probabilistic verification, LLM self-correction, verification framework, LLM reliability, multi-round verification, LLM confidence, verification-as-a-service, LLM quality assurance