Papers by Pierre Lepagnol
Small Language Models Are Good Too: An Empirical Study of Zero-Shot Classification (2024.lrec-main)
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| Challenge: | Using small language models, we challenge the dominance of large models in text classification by prompting. |
| Approach: | They compare the performance of small and large language models in a zero-shot context using different architectures and scoring functions. |
| Outcome: | The proposed model outperforms large models in a zero-shot context. |