3 stories tagged with #context-learning, in publish-time order across the WeSearch catalog. Tag pages update as new stories ingest.
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ARXIV CS.AI
Advancing Graph Few-Shot Learning via In-Context Learning
Graph few-shot learning, which aims to classify nodes from novel classes with only a few labeled examples, is a widely studied problem in graph learning. However, existing methods …
ARXIV CS.AI
Context-CoT: Enhancing Context Learning via High-Quality Reasoning Synthesis
While LLMs excel at reasoning over prompts using static pretrained knowledge, they struggle significantly with context learning-the ability to dynamically extract, internalize, and…
ARXIV CS.AI
Distributional Alignment as a Criterion for Designing Task Vectors in In-Context Learning
In-context learning (ICL) allows large language models (LLMs) to adapt to new tasks through demonstrations, yet it suffers from escalating inference costs as context length increas…