[PromptEng] First International Workshop on Prompt Engineering for Pre-Trained Language Models-Reference-Cited by-同舟云学术

[PromptEng] First International Workshop on Prompt Engineering for Pre-Trained Language Models

Published:2024-05-13 Issue: Volume:12706 Page:1311-1312
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Container-title:Companion Proceedings of the ACM Web Conference 2024
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Author:

Graux Damien¹^ORCID,Montella Sébastien¹^ORCID,Jabeen Hajira²^ORCID,Gardent Claire³^ORCID,Pan Jeff Z.⁴^ORCID

Affiliation:

1. Huawei Research Ltd., Edinburgh, United Kingdom

2. GESIS - Leibniz-Institut für Sozialwissenschaften in Köln, Cologne, Germany

3. CNRS, LORIA & Univ. of Lorraine, Nancy, France

4. University of Edinburgh, Edinburgh, United Kingdom

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3589335.3641292

Reference15 articles.

1. Prompt-Eng: Healthcare Prompt Engineering: Revolutionizing Healthcare Applications with Precision Prompts

2. Patrick Barreiß, Roman Klinger, and Jeremy Barnes. 2024. English Prompts are Better for NLI-based Zero-Shot Emotion Classification than Target-Language Prompts. In Proceedings of the 1st International Workshop on Prompt Engineering for Pre-Trained Language Models (PromptEng) co-located with the ACM Web Conf 2024.

3. Automatic Design Summary Generation with Generative AI

4. Data Augmentation for Smishing Detection: A Theory-based Prompt Engineering Approach

5. Dynamic Contexts for Generating Suggestion Questions in RAG Based Conversational Systems

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