Tag: in-context learning
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Optimizing AutoML Pipelines with In-Context Decision Making
Discover how in-context decision making enhances AutoML pipeline optimization using PS-PFN, improving model selection and adaptation efficiency.
In-Context Learning in Speech Models: Acoustic & Linguistic Roles
Explore how acoustic features, linguistic structure, and induction heads impact in-context learning in speech language models for improved performance.
Dual-Stream Calibration for Enhanced Clinical Reasoning
Discover how Dual-Stream Calibration improves in-context clinical reasoning by enabling deeper knowledge internalization for accurate AI-driven healthcare...
Best Demonstration Selection for LLM Next POI Prediction
Explore top demonstration selection methods to boost large language model accuracy in next POI prediction using real-world datasets and heuristics.
Diagnosing Surface Compliance in Large Language Models
Explore how surface compliance affects memory editing in large language models and why true internal modification is crucial for reliable AI.