prompt-engineering
1.프롬프트 엔지니어링 강의 by DLAI - 1. 소개
딥러닝AI: 프롬프트 엔지니어링 강의 - 1. 소개
2.프롬프트 엔지니어링 강의 by DLAI - 2. 가이드라인
딥러닝AI: 프롬프트 엔지니어링 강의 - 2. 가이드라인
3.프롬프트 엔지니어링 강의 by DLAI - 3. 반복적인 프롬프트 개선
딥러닝AI: 프롬프트 엔지니어링 강의 - 3. 반복적 프롬프트 개선
4.프롬프트 엔지니어링 강의 by DLAI - 4. 태스크별 활용 (요약, 추론, 변형, 확장, 챗봇)
딥러닝AI: 프롬프트 엔지니어링 강의 - 4. 다양한 활용 (요약, 추론, 변형, 확장, 챗봇)
5.Black-Box Tuning for Language-Model-as-a-Service
Black-Box Tuning for Language-Model-as-a-Service, ICML 2022
6.BBTv2: Towards a Gradient-Free Future with Large Language Models
BBTv2: Towards a Gradient-Free Future with Large Language Models, EMNLP 2022
7.Instruction Induction: From Few Examples to Natural Language Task Descriptions
Instruction Induction: From Few Examples to Natural Language Task Descriptions, arXiv, 2022
8.Generative Prompt Tuning for Relation Classification
Generative Prompt Tuning for Relation Classification, EMNLP 2022
9.MetaPrompting: Learning to Learn Better Prompts
MetaPrompting: Learning to Learn Better Prompts, COLING 2022
10.RLPROMPT: Optimizing Discrete Text Prompts with Reinforcement Learning
RLPROMPT: Optimizing Discrete Text Prompts with Reinforcement Learning, EMNLP 2022
11.TEMPERA: Test-Time Prompt Editing via Reinforcement Learning
TEMPERA: Test-Time Prompt Editing via Reinforcement Learning, ICLR 2023
12.Large Language Models are Human-Level Prompt Engineers
Large Language Models are Human-Level Prompt Engineers, ICLR 2023
13.PromptGen: Automatically Generate Prompts using Generative Models
PromptGen: Automatically Generate Prompts using Generative Models, NAACL 2023
14.Ask Me Anything: A simple strategy for prompting language models
Ask Me Anything: A simple strategy for prompting language models, ICLR 2023 notable top 25%
15.Exploring Lottery Prompts for Pre-trained Language Models
Exploring Lottery Prompts for Pre-trained Language Models, ACL 2023
16.Automatic Prompt Optimization with “Gradient Descent” and Beam Search
Automatic Prompt Optimization with “Gradient Descent” and Beam Search, arXiv 2023
17.Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions
Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions
18.Context-faithful Prompting for Large Language Models
Context-faithful Prompting for Large Language Models, arXiv 2023