← Resources & Methods
Natural Language Processing › Resources & Methods ›

Prompt Engineering

88 directly classified papers

Papers per year

Papers

UoM&MMU at TSAR-2022 Shared Task: Prompt Learning for Lexical Simplification EMNLP 2022
On Transferability of Prompt Tuning for Natural Language Processing NAACL 2022
RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning EMNLP 2022
When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment NIPS 2022
The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning NIPS 2022
Prototypical Verbalizer for Prompt-based Few-shot Tuning ACL 2022
An Information-theoretic Approach to Prompt Engineering Without Ground Truth Labels ACL 2022
Position-based Prompting for Health Outcome Generation ACL 2022
ASCM: An Answer Space Clustered Prompting Method without Answer Engineering ACL 2022
Dual Context-Guided Continuous Prompt Tuning for Few-Shot Learning ACL 2022
Open Aspect Target Sentiment Classification with Natural Language Prompts EMNLP 2021
Few-Shot Text Generation with Natural Language Instructions EMNLP 2021
AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts EMNLP 2020