AI Rewind 2020: Trends in Natural Language Processing with Sameer Singh
EPISODE 445
|
JANUARY
7,
2021
Watch
Follow
Share
About this Episode
Today we continue the 2020 AI Rewind series, joined by friend of the show Sameer Singh, an Assistant Professor in the Department of Computer Science at UC Irvine.
We last spoke with Sameer at our Natural Language Processing office hours back at TWIMLfest, and was the perfect person to help us break down 2020 in NLP. Sameer tackles the review in 4 main categories, Massive Language Modeling, Fundamental Problems with Language Models, Practical Vulnerabilities with Language Models, and Evaluation.
We also explore the impact of GPT-3 and Transformer models, the intersection of vision and language models, and the injection of causal thinking and modeling into language models, and much more.
We want to hear from you! Send your thoughts on the year that was 2020 below in the comments, or via Twitter at @samcharrington or @twimlai.
To follow along with the 2020 AI Rewind Series, head over to the series page!
About the Guest
Sameer Singh
UC Irvine
Resources
- Language Models are Few-Shot Learners (GPT-3)
- Scaling Laws for Neural Language Models
- Train Large, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers
- Rethinking Model Size: Train Large, Then Compress with Joseph Gonzalez
- Longformer: The Long-Document Transformer
- Big Bird: Transformers for Longer Sequences
- Reformer: The Efficient Transformer
- Linformer: Self-Attention with Linear Complexity
- Rethinking Attention with Performers
- Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data
- Is Linguistics Missing from NLP Research? w/ Emily M. Bender
- Experience Grounds Language
- RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models
- Weight Poisoning Attacks on Pre-trained Models
- Customizing Triggers with Concealed Data Poisoning
- "You are grounded!": Latent Name Artifacts in Pre-trained Language Models
- How Can We Accelerate Progress Towards Human-like Linguistic Generalization?
- Beyond Accuracy: Behavioral Testing of NLP models with CheckList
- Beyond Accuracy: Behavioral Testing of NLP Models with Sameer Singh
- BLiMP: The Benchmark of Linguistic Minimal Pairs for English
- Evaluating Models' Local Decision Boundaries via Contrast Sets
- WinoGrande: An Adversarial Winograd Schema Challenge at Scale

