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Case Law as Data : Prompt Engineering Strategies for Case Outcome Extraction with Large Language Models in a Zero-Shot Setting

• Authors : Guillaume Zambrano

Subjects: llm; prompt engineering; natural language processing (nlp)

• Source: Law, Technology and Humans, Vol 6, Iss 3, Pp 80-101 (2024)

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Evaluating the effectiveness of prompt engineering for knowledge graph question answering

• Authors : Kosten, Catherine; Nooralahzadeh, Farhad; Stockinger, Kurt

Subjects: Knowledge graph question answering; SPARQL; RDF

• Source: ISSN:2624-8212 ; Frontiers in Artificial Intelligence.

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PROMPT ENGINEERING: REVOLUTIONIZING NATURAL LANGUAGE PROCESSING

• Authors : Researcher; Karthika Gopalakrishnan

Subjects: NLP; Prompt Engineering; LLM

• Source: International Journal of Artificial Intelligence and Machine Learning (IJAIML), 3(2), 195-203, (2024-10-15)

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Prompt Engineering as an Important Emerging Skill for Medical Professionals: Tutorial.

• Authors : Meskó, Bertalan¹ (AUTHOR)

• Source: Journal of Medical Internet Research. 2023, Vol. 25 Issue 1, p1-6. 6p.

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Enhancing Translation Quality: A Comparative Study of Fine-Tuning and Prompt Engineering in Dialog-Oriented Machine Translation Systems. Insights from the MULTITAN-GML Team

• Authors : Zhu, Lichao; Zimina-Poirot, Maria; Namdarzadeh, Behnoosh ...

Subjects: NMT Neural Machine Translation; Post-editing strategies; Fine-tuningMiami (FL); United States

• Source: Ninth Conference on Machine Translation ; https://hal.science/hal-04781585 ; Ninth Conference on Machine Translation, Nov 2024, Miami (FL), United States

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New Ways of Creating Research Data - Conversion of Unstructured Text to TEI XML using GPT on the Correspondence of Hugo Schuchard with a Web Prototype for Prompt Engineering

• Authors : Pollin, Christopher; Steiner, Christian; Zach, Constantin ...

Subjects: FORGE2023; LLM; GPT

• Source: FORGE2023, FORGE 2023 - Anything Goes?! Forschungsdaten in den Geisteswissenschaften - kritisch betrachtet, Tübingen, Deutschland, 04.-06. Oktober 2023

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Evaluating large language models’ capability to generate algorithmic code using prompt engineering

• Authors : Karlsson, Sebastian; Farah, Mtanus; Hassan, Faysal

Subjects: LLM; large language model; ChatGPT

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Prompt engineering and its usability to improve modern psychology chatbots ; Prompt engineering och dess användbarhet för att förbättra psykologichatbottar

• Authors : Nordgren, Isak; E. Svensson, Gustaf

Subjects: Large Language Models; LLM; GPT

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Classification and Recognition in the Large Language Models Context

• Authors : Adrian Doroiman

Subjects: llm; supervised / unsupervised learning; prompt engineering

• Source: Annals of Dunarea de Jos University. Fascicle I : Economics and Applied Informatics, Vol 30, Iss 3, Pp 344-350 (2024)

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Beyond Snippet Assistance: A Workflow-Centric Framework for End-to-End AI-Driven Code Generation

• Authors : Vladimir Sonkin; Cătălin Tudose

Subjects: artificial intelligence; LLM; AI code review

• Source: Computers, Vol 14, Iss 3, p 94 (2025)

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