Dataset · Hugging Face

thaki-AI/daily-paper-2026-09-23-validator-dividend-tool-call-consensus

Name: daily-paper-2026-09-23-validator-dividend-tool-call-consensus
Creator: thaki-AI
License: cc-by-4.0
Keywords: language:en, license:cc-by-4.0, region:us, tool-calling, self-consistency, validation-gated-resampling, cost-quality-frontier, llm-quantization, structured-output, quality-per-dollar, h200-serving

The Validator's Dividend: Measuring the Cost-Quality Frontier of Validation-Gated Resampling versus k-Sample Consensus for Agentic Tool-Call Output on Self-Hosted H200 TL;DR — On a self-hosted quantized model, a free deterministic validator is the cheapest tool-call reliability lever: validate-then-retry recovers the detectable error fraction at marginal cost c/q per quality point, is bounded by a silent floor that no retry budget can cross, and beats both k-sample consensus… See the full description on the dataset page: https://huggingface.co/datasets/thaki-AI/daily-paper-2026-09-23-validator

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Author / organization	thaki-AI
License (as declared)	cc-by-4.0
Downloads	261 (as reported by Hugging Face)
Likes	0
Created	22 September 2026
Last updated at source	22 September 2026

tool-callingself-consistencyvalidation-gated-resamplingcost-quality-frontierllm-quantizationstructured-outputquality-per-dollarh200-serving

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