Papers by Zhejian Zhou
ConFiguRe: Exploring Discourse-level Chinese Figures of Speech (2022.coling-1)
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| Challenge: | Figures of speech often deviate from their literal meanings to express deeper semantic implications. |
| Approach: | They propose a concept of figurative unit, which is the carrier of a figure, and build a Chinese corpus for Contextualized Figure Recognition. |
| Outcome: | The proposed model is based on 12 types of figures commonly used in Chinese . it shows that the proposed tasks are challenging for existing models . |
Scaling Behavior for Large Language Models regarding Numeral Systems: An Example using Pythia (2024.findings-emnlp)
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| Challenge: | Large Language Models (LLMs) are struggling with performing numeric operations accurately. |
| Approach: | They propose to use different numeral systems to scale different numerates in transformer-based large language models. |
| Outcome: | The proposed model is more data-efficient than base 10 and base 10 3 . the model is also more efficient on addition and multiplication . |