CryptoLLM: Unleashing the Power of Prompted LLMs for SmartQnA and Classification of Crypto Posts
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Abstract (arXiv)
The rapid growth of social media has resulted in an large volume of user-generated content, particularly in niche domains such as cryptocurrency. This task focuses on developing robust classification models to accurately categorize cryptocurrency-related social media posts into predefined classes, including but not limited to objective, positive, negative, etc. Additionally, the task requires participants to identify the most relevant answers from a set of posts in response to specific questions. By leveraging advanced LLMs, this research aims to enhance the understanding and filtering of cryptocurrency discourse, thereby facilitating more informed decision-making in this volatile sector. We have used a prompt-based technique to solve the classification task for reddit posts and twitter posts. Also, we have used 64-shot technique along with prompts on GPT-4-Turbo model to determine whether a answer is relevant to a question or not.
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References · 27
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- 2024A Novel Multi-Stage Prompting Approach for Language Agnostic MCQ Generation using GPTcited by 19
- 2024Exploring the Capabilities of Prompted Large Language Models in Educational and Assessment Applicationscited by 12
15 more
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- 2023Fact-based Court Judgment Predictioncited by 10
- 2024Rethinking Legal Judgement Prediction in a Realistic Scenario in the Era of Large Language Modelscited by 10
- 2023Nonet at SemEval-2023 Task 6: Methodologies for Legal Evaluationcited by 9
- 2023Harnessing the Power of Prompt-based Techniques for Generating School-Level Questions using Large Language Modelscited by 9
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- 2023Questioning Biases in Case Judgment Summaries: Legal Datasets or Large Language Models?cited by 7
- 2024Code Generation and Algorithmic Problem Solving Using Llama 3.1 405Bcited by 7
- 2024The Future of Learning in the Age of Generative AI: Automated Question Generation and Assessment with Large Language Modelscited by 7
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- 2024Artificial Intelligence (AI) in Legal Data Miningcited by 6
- 2024MIRROR: A Novel Approach for the Automated Evaluation of Open-Ended Question Generationcited by 6
- 2023Prompted Zero-Shot Multi-label Classification of Factual Incorrectness in Machine-Generated Summariescited by 5
- 2023Multi-Label Classification of COVID-Tweets Using Large Language Modelscited by 4
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