Summary of Case-based Reasoning Approach For Solving Financial Question Answering, by Yikyung Kim et al.
Case-Based Reasoning Approach for Solving Financial Question Answering
by Yikyung Kim, Jay-Yoon Lee
First submitted to arxiv on: 18 May 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Information Retrieval (cs.IR); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper addresses a critical gap in evaluating the logical reasoning abilities of machine learning models, specifically their ability to reason about heterogeneous information such as text, tables, and numbers. Recent language models have shown impressive performance on text-based tasks, but their effectiveness in complex reasoning problems remains uncertain. To bridge this gap, the authors propose a novel approach using case-based reasoning (CBR) that retrieves relevant cases to address a given question and generates an answer based on retrieved cases and contextual information. The authors demonstrate competitive performance of their approach on the FinQA dataset and show that expanding the case repository can help solve complex multi-step programs. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about helping machines understand human language better. It’s trying to figure out how well these machines can reason logically, especially when dealing with different types of information like text, tables, and numbers. The authors found that some machines are really good at understanding text, but struggle with more complex problems that involve multiple steps. To fix this problem, they came up with a new way of thinking called case-based reasoning. This approach looks at similar questions and answers to help the machine come up with an answer to a new question. The authors tested their idea on a special dataset and showed that it can be really helpful. |
Keywords
» Artificial intelligence » Machine learning
