BERT or Transformer?
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Assessment
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 35/100
- Issue type
- Documentation
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- jupyter-notebook
- Domain
- machine-learning
Research direction
Compare the architecture described in section 3.3 and Appendix C2 with the implementation notebooks or entry points in the repository. Verify whether the implementation uses BERT for the main model and autoregressive baseline, then clarify which source is current and update the preprint or implementation description accordingly.
Written by the indexing model from the issue text.
Description
Hi Kevin,
Thank you for the impressive work!
In section 3.3, it says "a vanilla bidirectional transformer architecture" is adopted with a citation to the origin transformer paper. Also in Appendix C2, "an auto-regressive transformer" is used as a baseline.
I am quite confused since it looks like the implementation uses a BERT architecture (for both the main model and the autoregressive baseline). I am wondering whether the implementation or the preprint has been updated.
Best,
- Dominant language
- Jupyter Notebook
- Stars
- 568
- Forks
- 74
- Avg merge
- 20h 2m
- Merged PRs (30d)
- 1
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