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Prompt Engineering

88 directly classified papers

Papers per year

Papers

MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization EMNLP 2024
Dialogue for Prompting: A Policy-Gradient-Based Discrete Prompt Generation for Few-Shot Learning AAAI 2024
Code-Style In-Context Learning for Knowledge-Based Question Answering AAAI 2024
LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression ACL 2024
Wordflow: Social Prompt Engineering for Large Language Models ACL 2024
Question-Analysis Prompting Improves LLM Performance in Reasoning Tasks ACL 2024
INTERVENOR: Prompting the Coding Ability of Large Language Models with the Interactive Chain of Repair ACL 2024
PACE: Improving Prompt with Actor-Critic Editing for Large Language Model ACL 2024
Automatic Engineering of Long Prompts ACL 2024
A Prompting Assignment for Exploring Pretrained LLMs ACL 2024
Induct-Learn: Short Phrase Prompting with Instruction Induction EMNLP 2024
Paraphrase Types Elicit Prompt Engineering Capabilities EMNLP 2024
PrExMe! Large Scale Prompt Exploration of Open Source LLMs for Machine Translation and Summarization Evaluation EMNLP 2024
Empowering Multi-step Reasoning across Languages via Program-Aided Language Models EMNLP 2024
Large Language Model for Multi-Domain Translation: Benchmarking and Domain CoT Fine-tuning EMNLP 2024
Ada-Instruct: Adapting Instruction Generators for Complex Reasoning EMNLP 2024
SpeechAlign: Aligning Speech Generation to Human Preferences NIPS 2024
Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models NIPS 2024
Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data EMNLP 2023
Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting EMNLP 2023
Survival of the Most Influential Prompts: Efficient Black-Box Prompt Search via Clustering and Pruning EMNLP 2023
Decomposed Prompt Tuning via Low-Rank Reparameterization EMNLP 2023
Vector-Quantized Prompt Learning for Paraphrase Generation EMNLP 2023
InstOptima: Evolutionary Multi-objective Instruction Optimization via Large Language Model-based Instruction Operators EMNLP 2023
Enhancing Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies EMNLP 2023