Papers by Raphael Troncy

2 papers
Definitions Matter: Guiding GPT for Multi-label Classification (2023.findings-emnlp)

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Challenge: Recent success of Large Language Models (LLMs) is due to their superior performance on various tasks such as text generation, summarization, question answering, and inductive reasoning.
Approach: They propose to generate definitions from examples and use them for zero-shot classification and to investigate how an LLM makes use of the definitions.
Outcome: The proposed method improves the definitions of class labels and improves their understanding of the definition.
Automated Detection of Tropes In Short Texts (2025.coling-main)

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Challenge: Tropes are often used in movies to convey familiar patterns, but they also play a significant role in online communication .
Approach: They propose to automatically detect tropes in social media posts by using a dataset . they define the task, distinguish it from previous work, and develop a machine learning technique .
Outcome: The proposed method can detect tropes in social media posts with high accuracy.

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