README.md

Awesome LLM Prompt Reading List

This Reading List is still updating.

Any stars, questions or PRs are sincerely appreciated and welcomed.

With the fast developement of LLM, researchers tend to prompt LLM to utilize the world knowledge and reasoning ability of LLM by prompting it better. This reading list mainly focuses on papers of different effective prompting methods to enhance the performance of LLM on various tasks.

Contributions and further discussions are greatly welcomed! Please feel free to chat with me in any ways you like, raise an issue or create a PR. My personal website is https://yitaoliu17.com.

Papers

format:
- [title](paper link) [links]
  - author1, author2, and author3...
  - publisher
  - keyword
  - code
  - experiment environments and datasets

2023

• Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models 2023.02

• Reflexion: Language Agents with Verbal Reinforcement Learning 2023.03

• Self-Refine: Iterative Refinement with Self-Feedback 2023.03

• REFINER: Reasoning Feedback on Intermediate Representations 2023.04

• Automatic Prompt Optimization with "Gradient Descent" and Beam Search 2023.05

• Decomposition Enhances Reasoning via Self-Evaluation Guided Decoding 2023.05

• Tree of Thoughts: Deliberate Problem Solving with Large Language Models 2023.05

• AutoHint: Automatic Prompt Optimization with Hint Generation 2023.07

• Better Zero-Shot Reasoning with Role-Play Prompting

• Cumulative Reasoning with Large Language Models

• Large Language Models as Optimizers

2022

• Chain of Thought Prompting Elicits Reasoning in Large Language Models

• Least-to-Most Prompting Enables Complex Reasoning in Large Language Models 2022.05

• ReAct: Synergizing Reasoning and Acting in Language Models 2022.10