Papers with numerical understanding

3 papers
Logical Inference for Counting on Semi-structured Tables (2022.acl-srw)

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Challenge: Natural Language Inference (NLI) tasks require numerical understanding to perform a numerical type of inference, such as counting.
Approach: They propose a logical inference system for reasoning between semi-structured tables and texts that uses logical representations as meaning representations and model checking to handle a numerical type of inference.
Outcome: The proposed system can perform inference with numerical comparatives with tables and texts in English.
Investigating Numeracy Learning Ability of a Text-to-Text Transfer Model (2021.findings-emnlp)

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Challenge: Existing pre-trained models fail to capture a better understanding of numbers.
Approach: They propose to use a text-to-text transfer learning model (T5) to learn numeracy in four numeration tasks.
Outcome: The model outperforms its predecessors in four numeracy tasks, but struggle in extrapolation setting.
How Robust Are Large Language Models for Clinical Numeracy? An Empirical Study on Numerical Reasoning Abilities in Clinical Contexts (2026.findings-acl)

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Challenge: Existing evaluations of Large Language Models for clinical numerical reasoning provide limited operation-level coverage and limited robustness of numerical understanding across clinical note formats.
Approach: They propose a benchmarking tool that evaluates four main types of clinical numeracy . they present longitudinal MIMIC-IV vital-sign records in three semantically equivalent representations .
Outcome: The proposed benchmark evaluates four main types of clinical numeracy: value retrieval, arithmetic computation, relational comparison, and aggregation.

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