From Exposure to Internalization: Dual-Stream Calibration for In-context Clinical Reasoning
Contextual clinical reasoning demands robust inference grounded in complex, heterogeneous clinical records. While state-of-the-art fine-tuning, in-context learning (ICL), and retrieval-augmented generation (RAG) enable knowledge exposure, they often fall short of genuine contextual internalization: dynamically adjusting a model's internal representations to the subtle nuances of individual cases at inference time. To address this, we propose Dual-Stream Calibration (DSC), a test-time training framework that transcends superficial knowledge exposure to achieve deep internalization during inference. DSC facilitates input internalization by synergistically aligning two calibration streams. U...
| Authors | Chuang Zhao, Hongke Zhao, Xiaofang Zhou et al. |
|---|---|
| Primary category | q-bio.QM |
| Published | 7 April 2026 |
| Last updated at source | 7 April 2026 |
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