Each week, the Hugging Face team has a science day where one team member presents an awesome NLP paper. We've decided to share this discussion with the community. See planned future discussions below.
- Paper: Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference
- Authors: R. Thomas McCoy, Ellie Pavlick, Tal Linzen
- Presenter: Victor Sanh
- Discussion: Slides
- Paper: REALM: Retrieval-Augmented Language Model Pre-Training
- Authors: Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, Ming-Wei Chang
- Presenter: Joe Davison
- Discussion: Write-up
- Paper: Adaptively Sparse Transformers
- Authors: Gonçalo M. Correia, Vlad Niculae, André F.T. Martins
- Presenter: Sasha Rush
- Discussion: Colab notebook
- Paper: Representation Learning with Contrastive Predictive Coding
- Authors: Aaron van den Oord, Yazhe Li, Oriol Vinyals
- Presenter Patrick von Platen
- Paper: Scaling Laws for Neural Language Models
- Authors: Jared Kaplan, Sam McCandlish, Tom Henighan, Tom B. Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, Dario Amodei
- Presenter: Teven Le Scao
- Paper: Compositionality decomposed: how do neural networks generalise?
- Authors: Dieuwke Hupkes, Verna Dankers, Mathijs Mul, Elia Bruni
- Presenter: Thomas Wolf