Papers by Xitao Li
CRT-QA: A Dataset of Complex Reasoning Question Answering over Tabular Data (2023.emnlp-main)
Copied to clipboard
| Challenge: | Large language models (LLMs) show powerful reasoning abilities on text-based tasks, but their reasoning capability on structured data such as tables has not been systematically explored. |
| Approach: | They first establish a comprehensive taxonomy of reasoning and operation types for tabular data analysis and then construct a complex reasoning QA dataset over tabular dataset. |
| Outcome: | The proposed method is able to solve table reasoning tasks without handcrafted demonstrations. |