google-research / google-research/tabfm

Request for the Technical Report of TabFM

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#64 1 comment 5 reactions 0 assignees View on GitHub
Dominant language
Python
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Description

First of all, thank you for making TabFM publicly available. I have been exploring the project and find it very interesting.

I was wondering whether there is a technical report or paper describing the model architecture, training pipeline, datasets, and evaluation methodology. Such a document would be very helpful for understanding the design choices and reproducing the reported results.

If a technical report is already planned, would you be able to share an estimated release timeline? If not, would you consider releasing one in the future?

Thank you for your time and for your excellent work!

Contributor guide

Open the contributing guide

Research direction

The issue names no files, tests, or entry points. Start by checking whether TabFM already has a technical report or paper linked in the repository; done would require an agreed scope and a published document covering the requested architecture, training, datasets, and evaluation details.

Written by the indexing model from the issue text.

Assessment

Domain
documentation, machine-learning
Issue type
Documentation
Difficulty
5/5
Estimated time
Over a week
Activity status
Quiet
Clarity
Needs clarification
Newbie friendliness
25/100

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