Deploying ChatGPT for Automated Tagging of Greek Dialogue Data of University Students

This publication has 15 references indexed in Scilit:

• A Comprehensive Analysis of the Effectiveness of Large Language Models as Automatic Dialogue Evaluators
  Proceedings of the AAAI Conference on Artificial Intelligence, 2024
• Herding AI Cats: Lessons from Designing a Chatbot by Prompting GPT-3
  2023
• Towards LLM-driven Dialogue State Tracking
  2023
• Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration
  2023
• The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning
  2023
• Recent advances in deep learning based dialogue systems: a systematic survey
  Artificial Intelligence Review, 2022
• Inter-annotator Agreement Using the Conversation Analysis Modelling Schema, for Dialogue
  Communication Methods and Measures, 2022
• Managing the Complexity of Dialogues in Context: A Data-Driven Discovery Method for Dialectical Reply Structures
  Argumentation, 2021
• Potential Problem Data Tagging: Augmenting information systems with the capability to deal with inaccuracies
  Decision Support Systems, 2019
• ‘Adults don’t understand’: exploring how teens use dialectical frameworks to navigate webs of tensions in online life
  Journal of Applied Communication Research, 2016