Prompt Engineering

Can discrete information extraction prompts generalize across language models? ICLR 2023 Complementary Explanations for Effective In-Context Learning ACL 2023 Complexity-Based Prompting for Multi-step Reasoning ICLR 2023 Compositional Semantic Parsing with Large Language Models ICLR 2023 CP-Rec: Contextual Prompting for Conversational Recommender Systems AAAI 2023 Decomposed Prompt Tuning via Low-Rank Reparameterization EMNLP 2023 Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning CVPR 2023 Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning ICLR 2023 Effective Human-AI Teams via Learned Natural Language Rules and Onboarding NeurIPS 2023 Enhancing Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies EMNLP 2023 FinePrompt: Unveiling the Role of Finetuned Inductive Bias on Compositional Reasoning in GPT-4 EMNLP 2023 Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency EMNLP 2023 InstOptima: Evolutionary Multi-objective Instruction Optimization via Large Language Model-based Instruction Operators EMNLP 2023 Is Continuous Prompt a Combination of Discrete Prompts? Towards a Novel View for Interpreting Continuous Prompts ACL 2023 Large Language Models are Human-Level Prompt Engineers ICLR 2023 Least-to-Most Prompting Enables Complex Reasoning in Large Language Models ICLR 2023 MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization EMNLP 2023 Model ensemble instead of prompt fusion: a sample-specific knowledge transfer method for few-shot prompt tuning ICLR 2023 Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning ICLR 2023 Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting EMNLP 2023 Progressive Prompts: Continual Learning for Language Models ICLR 2023 Prompting GPT-3 To Be Reliable ICLR 2023 ReadPrompt: A Readable Prompting Method for Reliable Knowledge Probing EMNLP 2023 Survival of the Most Influential Prompts: Efficient Black-Box Prompt Search via Clustering and Pruning EMNLP 2023 Test-time Augmentation for Factual Probing EMNLP 2023