Downstream Task: Table Question Answering

Downstream tasks leveraging LLMs are essential for developing chatbot functionalities. These tasks, such as Table Question Answering enrich the chatbots with the ability to access and interpret structured information.

Table Question Answering refers to the process of understanding and interpreting data presented in a tabular form to answer questions related to the information within these tables. This task combines natural language processing and the understanding of structured data for providing answers to queries. Language models analyze the textual descriptions in the tables (categorical values) and the numerical values in the tables. This technique is very challenging because it requires the models to understand the semantic ...