Papers with text-classification benchmarks
Text Classification via Large Language Models (2023.findings-emnlp)
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| Challenge: | Large-scale Language Models (LLMs) have shown the ability for in-context learning. |
| Approach: | They propose a progressive reasoning strategy tailored to addressing complex linguistic phenomena such as intensification, contrast, irony and limited number of tokens allowed in in-context learning. |
| Outcome: | The proposed model performs better on 4 out of 5 widely-used text-classification benchmarks, while demonstrating comparable performance to SOTA on MR. |