Neuroscience and neural networks, being a linguist in the world of NLP, evaluation methods, fine-grained NLI questions, the pace of research, and the vexing fact that, on the internet, people = men.

Transcript: https://web.stanford.edu/class/cs224u/podcast/williams/

• Adina's website
• Adina on Twitter
• Based on billions of words on the internet, people = men
• April Bailey
• Andrei Cimpian
• Androcentrism
• GloVe
• fastText
• Preregistration
• P-hacking
• Rishi Bommasani
• Interpreting pretrained contextualized representations via reductions to static embeddings
• Common Crawl
• Battlestar Galactica
• MultiNLI
• ANLI
• DynaBench
• Breaching experiment
• Liina Pylkkänen
• Sam Bowman
• Nikita Nangia
• Ludwig Wittgenstein
• Ido Dagan
• Sebastian Riedel
• SNLI
• Yixin Nie
• Douwe Kiela
• Jason Weston
• Emily Dinan
• Build it break it fix it for dialogue safety: Robustness from adversarial human attack
• Allyson Ettinger
• GLUE
• DynaSent
• DeBERTa
• RoBERTa
• Breaking NLI systems with sentences that require simple lexical inferences
• HANS: Right for the wrong reasons: Diagnosing syntactic heuristics in natural language inference
• Targeted syntactic evaluation of language models
• Max Bartolo
• Magnetoencephalography
• Marr's Levels
• Marco Baroni
• Richard Futrell
• Ryan Cotterell
• SIGMORPHON 2022
• Alexis Conneau
• FLORES
• XNLI
• OCNLI: Original Chinese natural language inference
• Yann LeCun
• Novel Ideas in Learning-to-Learn through Interaction
• Grounding semantics in olfactory perception
• Brain in a vat
• Ellie Pavlick
• Tom Kwiatkowski
• Mohit Bansal
• Identifying inherent disagreement in natural language inference
• DALL-E 2
• Winoground
• Gary Marcus on Winoground