Papers by Damir Korenčić
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. |