Prompt Engineering

Robustness of Learning from Task Instructions ACL 2023 Robust Prompt Optimization for Large Language Models Against Distribution Shifts EMNLP 2023 Selecting Better Samples from Pre-trained LLMs: A Case Study on Question Generation ACL 2023 Specializing Smaller Language Models towards Multi-Step Reasoning ICML 2023 Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models ICML 2023 TELeR: A General Taxonomy of LLM Prompts for Benchmarking Complex Tasks EMNLP 2023 Test-time Augmentation for Factual Probing EMNLP 2023 The Art of SOCRATIC QUESTIONING: Recursive Thinking with Large Language Models EMNLP 2023 The language of prompting: What linguistic properties make a prompt successful? EMNLP 2023 Toward Human Readable Prompt Tuning: Kubrick’s The Shining is a good movie, and a good prompt too? EMNLP 2023 Towards Alleviating the Object Bias in Prompt Tuning-based Factual Knowledge Extraction ACL 2023 Unnatural language processing: How do language models handle machine-generated prompts? EMNLP 2023 Who Wrote it and Why? Prompting Large-Language Models for Authorship Verification EMNLP 2023 Zero-shot Approach to Overcome Perturbation Sensitivity of Prompts ACL 2023 AdaPrompt: Adaptive Model Training for Prompt-based NLP EMNLP 2022 Are Prompt-based Models Clueless? ACL 2022 A Two Stage Adaptation Framework for Frame Detection via Prompt Learning COLING 2022 CINS: Comprehensive Instruction for Few-Shot Learning in Task-Oriented Dialog Systems AAAI 2022 Clip-Tuning: Towards Derivative-free Prompt Learning with a Mixture of Rewards EMNLP 2022 ConnPrompt: Connective-cloze Prompt Learning for Implicit Discourse Relation Recognition COLING 2022 Continued Pretraining for Better Zero- and Few-Shot Promptability EMNLP 2022 Co-training Improves Prompt-based Learning for Large Language Models ICML 2022 Fast and Constrained Absent Keyphrase Generation by Prompt-Based Learning AAAI 2022 GRASP: Guiding Model with RelAtional Semantics Using Prompt for Dialogue Relation Extraction COLING 2022 Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations EMNLP 2022