Prompt EngineeringMichihiro Yasunaga et al. (Google DeepMind, Stanford)Google DeepMindStanford University

Analogical Prompting published

Made by AIWritten by AI (Claude) from the source below. Check anything important against the source.How it's made

Analogical Prompting published — the model generates relevant examples itself, then solves the problem

Why it matters

A branch that gets the few-shot effect without labeling examples

Source — Primary sources first; secondary reports are labelled “Press”

Paperarxiv.orghttps://arxiv.org/abs/2310.01714

Added in Week 35, 2026 · See that week

On the map — ① Prompt Engineering line

  1. Previous stopChain-of-Verification
  2. This recordAnalogical Prompting
  3. Next stopGPT-4.1
See it on the map

Same week

DSPy publishedPaperLarge Language Models Cannot Self-Correct Reasoning Yet publishedPaper

Nearby on the same axis

Large Language Models Cannot Self-Correct Reasoning Yet publishedPaperDSPy publishedPaperPromptbreeder publishedPaperStep-Back Prompting publishedPaper