arXiv (All)
open access
Selective Reasoning for Typed Decision Models: When to Start, Read, and Stop
Typed decision models need an interface that can use additional reasoning while retaining candidate outputs. We train a shared candidate-answer reader on a frozen Qwen3.5-4B backbone to unify direct decisions with on-demand, interruptible reasoning. The reader returns distributions from empty and pa
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- On the Pitfalls of Verbalized Confidence Priors for Calibrating Large Reasoning Models#1116801
- Apriel-Reasoner: RL Post-Training for General-Purpose and Efficient Reasoning#984141
- Large Language Models as Statistical Decision-Makers at Inference Time#634803
- RL-ARC: Calibrating Large Reasoning Models via Reasoning-guided Uncertainty#1248632
- Towards Mitigating Deceptive Safety Alignment in Large Reasoning Models#1131096
Record · ID 1354334
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive