Интересные пейперы по prompt engineering которые прочитал на этих выходных.

From Words to Code: Harnessing Data for Program Synthesis from Natural Language
https://arxiv.org/pdf/2305.01598.pdf

Unstructured and structured data: Can we have the best of both worlds with large language models?
https://arxiv.org/pdf/2304.13010.pdf

TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs
https://arxiv.org/pdf/2303.16434.pdf

MM-REACT : Prompting ChatGPT for Multimodal Reasoning and Action
https://arxiv.org/pdf/2303.11381.pdf

Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision
https://arxiv.org/pdf/2305.03047.pdf

GPT is becoming a Turing machine: Here are some ways to program it
https://arxiv.org/pdf/2303.14310.pdf

Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs
https://arxiv.org/pdf/2305.03111.pdf

A Case-Based Reasoning Framework for Adaptive Prompting in Cross-Domain Text-to-SQL
https://arxiv.org/pdf/2304.13301.pdf

Divide and Prompt: Chain of Thought Prompting for Text-to-SQL
https://arxiv.org/pdf/2304.11556.pdf

DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction
https://arxiv.org/pdf/2304.11015.pdf

Teaching Large Language Models to Self-Debug
https://arxiv.org/pdf/2304.05128.pdf

Querying Large Language Models with SQL [Vision]
https://arxiv.org/pdf/2304.00472.pdf

AUTOMATIC CHAIN OF THOUGHT PROMPTING IN LARGE LANGUAGE MODELS
https://arxiv.org/pdf/2210.03493.pdf

FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance
https://arxiv.org/pdf/2305.05176.pdf

Refining the Responses of LLMs by Themselves
https://arxiv.org/pdf/2305.04039.pdf

Simulating H.P. Lovecraft horror literature with the ChatGPT large language model
https://arxiv.org/pdf/2305.03429.pdf

Low-code LLM: Visual Programming over LLMs
https://arxiv.org/pdf/2304.08103.pdf

Complex QA & language models hybrid architectures, Survey
https://arxiv.org/pdf/2302.09051.pdf

PAL: Program-aided Language Models
https://arxiv.org/pdf/2211.10435.pdf

Reflexion: an autonomous agent with dynamic memory and self-reflection
https://arxiv.org/pdf/2303.11366.pdf?trk=public_post_comment-text

Tool Learning with Foundation Models
https://arxiv.org/pdf/2304.08354.pdf

ChatGPT Prompt Patterns for Improving Code Quality, Refactoring, Requirements Elicitation, and Software Design
https://arxiv.org/pdf/2303.07839.pdf

Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions
https://arxiv.org/pdf/2212.10509.pdf

Self-planning Code Generation with Large Language Model
https://arxiv.org/pdf/2303.06689.pdf

Prompted LLMs as Chatbot Modules for Long Open-domain Conversation
https://arxiv.org/pdf/2305.04533.pdf