ML Wiki

Tag: in-context-learning

8 items with this tag.

  • May 08, 2026

    Flamingo: A Visual Language Model for Few-Shot Learning

    • source
    • vision-language
    • multimodal
    • few-shot-learning
    • cross-attention
    • in-context-learning
  • May 07, 2026

    Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

    • source
    • rag
    • retrieval
    • in-context-learning
    • instruction-following
    • ai-feedback
    • long-context
  • May 03, 2026

    Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task (Othello-GPT)

    • source
    • mechanistic-interpretability
    • probing
    • emergent-behavior
    • transformer
    • in-context-learning
  • Apr 27, 2026

    Gemini 1.5: Unlocking Multimodal Understanding Across Millions of Tokens of Context

    • source
    • long-context
    • mixture-of-experts
    • multimodal
    • architecture
    • scaling
    • in-context-learning
  • Apr 17, 2026

    Self-Consistency Improves Chain of Thought Reasoning in Language Models

    • source
    • chain-of-thought
    • reasoning
    • in-context-learning
    • sampling
    • decoding
  • Apr 17, 2026

    Tree of Thoughts: Deliberate Problem Solving with Large Language Models

    • source
    • reasoning
    • chain-of-thought
    • search
    • planning
    • in-context-learning
  • Apr 10, 2026

    Zero-Shot Transfer

    • concept
    • generalization
    • in-context-learning
  • Apr 10, 2026

    Language Models are Few-Shot Learners

    • source
    • gpt-3
    • scaling
    • in-context-learning
    • few-shot
    • pretraining