Skip to content

Latest commit

 

History

History
42 lines (37 loc) · 6.25 KB

README.md

File metadata and controls

42 lines (37 loc) · 6.25 KB
Raw

Prompt Optimization Paper List

😆 Must-read papers on prompt optimization.

Survey

  • Efficient Prompting Methods for Large Language Models: A Survey. 2024.03. [Paper] 

Prompt Optimization

  • GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models. 2022.03. 1 [Paper] [Project]
  • RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning. 2022.05. 1 [Paper] [Project]
  • TEMPERA: Test-Time Prompting via Reinforcement Learning.  2022.11. [Paper] [Project]
  • Large Language Models Are Human-Level Prompt Engineers. 2022.11. 1 1 [Paper] [Project] 
  • Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery.  2023.02. 1 [Paper] [Project]
  • RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs.  2023.05. 1 [Paper] [Project]
  • Discrete Prompt Optimization via Constrained Generation for Zero-shot Re-ranker. 2023.05. 1 [Paper] [Project]
  • Automatic Prompt Optimization with "Gradient Descent" and Beam Search. 2023.05. 1 [Paper] [Project]
  • AutoHint: Automatic Prompt Optimization with Hint Generation. 2023.07. 1 [Paper] 
  • PACE: Improving Prompt with Actor-Critic Editing for Large Language Model.  2023.08. [Paper]
  • Dialogue for Prompting: a Policy-Gradient-Based Discrete Prompt Generation for Few-shot Learning.  2023.08. 1 [Paper] [Project]
  • Large Language Models as Optimizers.  2023.09. 1 [Paper] [Project]
  • Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution.  2023.09. [Paper] [Project]
  • Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers.  2023.09. 1 [Paper] [Project]
  • MultiPrompter: Cooperative Prompt Optimization with Multi-Agent Reinforcement Learning.  2023.10. [Paper] 
  • Black-Box Prompt Optimization: Aligning Large Language Models without Model Training.  2023.11. 1 [Paper] [Project] 
  • Prompt Engineering a Prompt Engineer.  2023.11. 1 [Paper]
  • Automatic Engineering of Long Prompts.  2023.11. [Paper] [Project]
  • A Universal Prompt Generator for Large Language Models.  2023.11. 1 [Paper] 
  • Prompt Optimization via Adversarial In-Context Learning.  2023.12. [Paper] [Project]
  • MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization. 2023.12. 1 [Paper]
  • Intent-based Prompt Calibration: Enhancing prompt optimization with synthetic boundary cases.  2024.02. [Paper] [Project]
  • Are Large Language Models Good Prompt Optimizers?  2024.02. [Paper]
  • Unleashing the Potential of Large Language Models as Prompt Optimizers: An Analogical Analysis with Gradient-based Model Optimizers. 2024.02. [Paper] [Project]
  • PhaseEvo: Towards Unified In-Context Prompt Optimization for Large Language Models,  2024.02. [Paper]
  • A User-Friendly Framework for Generating Model-Preferred Prompts in Text-to-Image Synthesis. 2024.02. 1 [Paper] [Project]
  • MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization. 2024.02. [Paper]
  • GLaPE: Gold Label-agnostic Prompt Evaluation and Optimization for Large Language Models.  2024.02. [Paper] [Project]
  • CrossTune: Black-Box Few-Shot Classification with Label Enhancement.  2024.03. 1 [Paper]
  • Automatic Prompt Selection for Large Language Models. 2024.04. [Paper]
  • Prompts As Programs: A Structure-Aware Approach to Efficient Compile-Time Prompt Optimization. 2024.04. [Paper]