Generative AI & LLMs
Table question answering
Answering questions in everyday language using information from tables.
Example
A user asks which row has the highest reported revenue.
Why people use it
It lets people ask about a table without manually finding and calculating every value.
What you'll hear
“Which row has the largest total?”
What this means for you
Check the relevant cells and arithmetic for important answers.
Can you control it?
Sometimes
Sometimes. Your choices depend on the tool and your access. The settings available to an everyday user may differ from those available to the people running it.
Common questions
- Does table QA always calculate correctly?
- No. It can misread headers, units or aggregation requirements.
- Can merged headings confuse the answer?
- Yes. The system may associate a value with the wrong column or group.
- Does a number mean the same thing in every row?
- Not necessarily. Units, time periods or definitions can differ within the table.