[D] Suggestions for NLP Papers Commonly Implemented in ML Interviews

I'm preparing for an MLE interview and I've noticed that some companies ask candidates to implement models or layers from research papers during their interviews.

Could you recommend some NLP research papers that I can practice my implementation skill with PyTorch? I guess the papers used in interviews are challenging and yet manageable within the scope of a 1-hour interview. Thank you!

Some classic papers I can think of:

- multi-head attention
- BERT
- GPT-2

companies implementation interview interviews machinelearning mle nlp papers practice pytorch research research papers skill suggestions