google-research / google-research/tabfm
Request for the Technical Report of TabFM
- Dominant language
- Python
- Stars
- 2.6k
- Forks
- 270
- Avg merge
- 1d 7h
- Merged PRs (30d)
- 1
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
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