2024
ACL
ACL 2024
Skoltech at TextGraphs-17 Shared Task: Finding GPT-4 Prompting Strategies for Multiple Choice Questions
Abstract
AbstractIn this paper, we present our solution to the TextGraphs-17 Shared Task on Text-Graph Representations for KGQA. GPT-4 alone, with chain-of-thought reasoning and a given set of answers, achieves an F1 score of 0.78. By employing subgraph size as a feature, Wikidata answer description as an additional context, and question rephrasing technique, we further strengthen this result. These tricks help to answer questions that were not initially answered and to eliminate irrelevant, identical answers. We have managed to achieve an F1 score of 0.83 and took 2nd place, improving the score by 0.05 over the baseline. An open implementation of our method is available on GitHub.
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Interdisciplinary Bridge
— Artificial Intelligence and Deep Learning and Machine Learning and Natural Language Processing
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio
Authors
Topics
Machine Learning > Learning Types > Zero-Shot Learning
Deep Learning > Architectures > Transformers
Natural Language Processing > Applications > Question Answering
Artificial Intelligence > Core AI > Large Language Models
Artificial Intelligence > Core AI > Reasoning
Machine Learning > Learning Types > Prompt Engineering