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Preprint Oct 2026

SOMA: Continuous Monitoring and Intervention for System Two Reasoning with System One Models

Reasoning models often run into problems without noticing them, even when symptoms are visible in their own text. In humans, metacognition separates monitoring from control: fast, intuitive signals keep watch while slow, deliberate reasoning unfolds and help decide whether to continue, change course, or stop. System On...

Rui-Zhi Qian, Lei Shi, Tian-Yu Hu et al. · 0 citations
#artificial intelligence Preprint Oct 2026

PORA: Learning When More Reasoning Pays Off for LLM Agents

Paired Outcome-guided Reasoning Allocation (PORA), which learns this decision by comparing short and long reasoning from the same interaction state by comparing their final quality and total processing to estimate when longer reasoning is valuable.

Bo Yan, Qi Zhang, Zhen Tan et al. · 0 citations
#artificial intelligence Preprint Oct 2026

PatientWM: Towards Generalizable Clinical World Models via Unified Patient States

Clinical decisions depend on anticipating how a patient's condition will evolve as treatment is adjusted and new evidence becomes available. Existing medical world models capture patient-state evolution, but often define the evolving state around a particular modality or task, limiting reuse as inputs or prediction tar...

Zi-Wen Kan, Jie Peng, Bo Yan et al. · 0 citations

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