Papers with Numbers
Improving Numeracy by Input Reframing and Quantitative Pre-Finetuning Task (2023.findings-eacl)
Copied to clipboard
| Challenge: | Innumeracy is a problem in pretrained language models, but it is not discussed in this paper . Numerals are an indispensable part of narratives and provide much fine-grained information. |
| Approach: | They propose a method to solve innumeracy in pretrained language models by exploring the notation of numbers. |
| Outcome: | The proposed method improves performance in three benchmark datasets containing quantitative-related tasks. |
Development of Numerical Error Detection Tasks to Analyze the Numerical Capabilities of Language Models (2025.coling-main)
Copied to clipboard
| Challenge: | Existing language models are difficult to detect numerical errors because of their finite set of tokens. |
| Approach: | They use a benchmark dataset to classify numerical errors using automatically generated numerical errors and investigate their ability to detect errors. |
| Outcome: | The proposed model performs well in the numerical error detection task, but not as accurate as humans. |