Papers with multi-hop numerical reasoning

2 papers
Fine-tuning Smaller Language Models for Question Answering over Financial Documents (2024.findings-emnlp)

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Challenge: Recent research has shown that smaller language models can acquire substantial reasoning abilities when fine-tuned with reasoning exemplars crafted by a significantly larger teacher model.
Approach: They propose to fine-tune several smaller model to generate programs that encode the required financial reasoning and calculations.
Outcome: The proposed model outperforms the teacher model in the financial domain by adjusting the entity extraction for the specific data format.
Complex Numerical Reasoning with Numerical Semantic Pre-training Framework (2025.emnlp-main)

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Challenge: Numerical knowledge graphs (NKGs) are not limited to discrete entity-relation knowledge.
Approach: They propose to combine numerical values and entities to solve multi-hop complex reasoning over incomplete knowledge graphs.
Outcome: The proposed approach handles up to 102 types of complex numerical reasoning queries on three public datasets.

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