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← Learning Types
Machine Learning
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Learning Types
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Prompt Engineering
273 papers
Papers per year
2021: 1
1
2022: 31
31
2023: 66
66
2024: 77
77
2025: 97
97
2026: 1
1
Papers
Selecting Better Samples from Pre-trained LLMs: A Case Study on Question Generation
ACL 2023
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
ACL 2023
Exploring the Effectiveness of Prompt Engineering for Legal Reasoning Tasks
ACL 2023
Robustness of Learning from Task Instructions
ACL 2023
Medical knowledge-enhanced prompt learning for diagnosis classification from clinical text
ACL 2023
Exploration of multilingual prompts in document-grounded dialogue
ACL 2023
Improving Formality-Sensitive Machine Translation Using Data-Centric Approaches and Prompt Engineering
ACL 2023
Exploring the Curious Case of Code Prompts
ACL 2023
Alexander Knox at SemEval-2023 Task 5: The comparison of prompting and standard fine-tuning techniques for selecting the type of spoiler needed to neutralize a clickbait
ACL 2023
Explanation Selection Using Unlabeled Data for Chain-of-Thought Prompting
EMNLP 2023
Robust Prompt Optimization for Large Language Models Against Distribution Shifts
EMNLP 2023
Plan, Verify and Switch: Integrated Reasoning with Diverse X-of-Thoughts
EMNLP 2023
The Art of SOCRATIC QUESTIONING: Recursive Thinking with Large Language Models
EMNLP 2023
Meta-Learning of Prompt Generation for Lightweight Prompt Engineering on Language-Model-as-a-Service
EMNLP 2023
Multi-label and Multi-target Sampling of Machine Annotation for Computational Stance Detection
EMNLP 2023
Prompting ChatGPT in MNER: Enhanced Multimodal Named Entity Recognition with Auxiliary Refined Knowledge
EMNLP 2023
MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization
EMNLP 2023
Test-time Augmentation for Factual Probing
EMNLP 2023
Exploring the Sensitivity of LLMs’ Decision-Making Capabilities: Insights from Prompt Variations and Hyperparameters
EMNLP 2023
FinePrompt: Unveiling the Role of Finetuned Inductive Bias on Compositional Reasoning in GPT-4
EMNLP 2023
Allies: Prompting Large Language Model with Beam Search
EMNLP 2023
Definitions Matter: Guiding GPT for Multi-label Classification
EMNLP 2023
Descriptive Prompt Paraphrasing for Target-Oriented Multimodal Sentiment Classification
EMNLP 2023
Frugal Prompting for Dialog Models
EMNLP 2023
Learning to Correct Noisy Labels for Fine-Grained Entity Typing via Co-Prediction Prompt Tuning
EMNLP 2023
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