in context learning

5 articles · 15 co-occurring · 0 contradictions · 0 briefs

The entire paper is about in-context learning (ICL) and how LLMs leverage examples provided in the prompt context.

Related concepts

prompt engineering 4 multi agent orchestration 3 tool integration patterns 2 prompt optimization 2 context window optimization 2 context window management 2 training data bias 1 security and privacy controls 1 retrieval augmented generation 1 reasoning and planning 1 prompt engineering scaling 1 prompt architecture 1 multi turn conversation management 1 model selection strategy 1 few shot learning 1

Evidence chain (5 articles, showing 5)

MIR-Bench: Can Your LLM Recognize Complicated Patterns via Many-Shot In-Context Reasoning? | OpenReview example_of

The entire paper is about in-context learning (ICL) and how LLMs leverage examples provided in the prompt context.

NeurIPS Poster Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks example_of

The paper's core mechanism is injecting past trajectories as in-context examples for new tasks. This is ICL applied to agent behavior.

Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models example_of

Paper demonstrates that ICL effectiveness depends on evolving context quality; accumulated context from agent episodes functions as specialized in-context learning signal.

@paoloanzn: Presenting minigepa supports

GEPA demonstrates that improvements via prompt refinement are a form of in-context learning—the model performs better because the context (prompt) has been clarified and optimized.

@paoloanzn: llms still fail miserably in system design for anything that is not trivial o... supports

The core argument is that agents need to do in-context reasoning about path selection, not recall predetermined architectures from training

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