Raj-deep/scoutroute-phase1-calibration
ScoutRoute Phase 1 Calibration Data Per-question outputs and confidence signals from five small open-weight LLMs, collected during the exploratory first phase of the ScoutRoute project. The study asks whether a model's stated (verbalised) confidence or its answer-token confidence is a better signal of whether it will answer a question correctly. Related paper: ScoutRoute: Efficient Mixture-of-Experts Routing Using Internal Language Model Signals (arXiv:2610.23443).… See the full description on the dataset page: https://huggingface.co/datasets/Raj-deep/scoutroute-phase1-calibration.
| Author / organization | Raj-deep |
|---|---|
| Downloads | 0 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 20 October 2026 |
| Last updated at source | 20 October 2026 |
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- 20 Oct 2026 Description: none → ScoutRoute Phase 1 Calibration Data Per-question outputs and confidence signals from five small open-weight LLMs, collected during the exploratory first phase of the ScoutRoute project. The study asks whether a model's stated (verbalised) c
- 20 Oct 2026 Topics added task_categories:text-generation, llm-routing, calibration, confidence, mixture-of-experts, gsm8k, humaneval, mmlu, commonsenseqa
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