prompt engineering

Solving Math Word Problems concerning Systems of Equations with GPT-3 AAAI 2023 Summary Cycles: Exploring the Impact of Prompt Engineering on Large Language Models’ Interaction with Interaction Log Information AACL 2023 Survival of the Most Influential Prompts: Efficient Black-Box Prompt Search via Clustering and Pruning EMNLP 2023 Symbolization, Prompt, and Classification: A Framework for Implicit Speaker Identification in Novels EMNLP 2023 Symbol tuning improves in-context learning in language models EMNLP 2023 Synthetic Dialogue Dataset Generation using LLM Agents EMNLP 2023 Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models ICML 2023 Systematic Evaluation of GPT-3 for Zero-Shot Personality Estimation ACL 2023 Task-Level Thinking Steps Help Large Language Models for Challenging Classification Task EMNLP 2023 TELeR: A General Taxonomy of LLM Prompts for Benchmarking Complex Tasks EMNLP 2023 TEMPERA: Test-Time Prompt Editing via Reinforcement Learning ICLR 2023 Text Augmented Open Knowledge Graph Completion via Pre-Trained Language Models ACL 2023 Text Classification via Large Language Models EMNLP 2023 The Art of Prompting: Event Detection based on Type Specific Prompts ACL 2023 The Art of SOCRATIC QUESTIONING: Recursive Thinking with Large Language Models EMNLP 2023 The economic trade-offs of large language models: A case study ACL 2023 The language of prompting: What linguistic properties make a prompt successful? EMNLP 2023 Towards Informative Few-Shot Prompt with Maximum Information Gain for In-Context Learning EMNLP 2023 Towards Interpretable Mental Health Analysis with Large Language Models EMNLP 2023 Towards Making the Most of ChatGPT for Machine Translation EMNLP 2023 Towards Reasoning in Large Language Models: A Survey ACL 2023 Tree Prompting: Efficient Task Adaptation without Fine-Tuning EMNLP 2023 Unsupervised Explanation Generation via Correct Instantiations AAAI 2023 VIMA: Robot Manipulation with Multimodal Prompts ICML 2023 What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning ACL 2023