Want to read Elements of Surprise, but worried that it will blindside you with a spoiler for the book you were about to read or film you were about to see? I've got you covered. https://t.co/KPMcOYmWkL
My lovely Cognitive Science department is hiring for a Visiting Assistant Professor position, starting January 2024 and ending December 2024. 2/2 teaching load (our undergrads are WONDERFUL), renewable for a second year. https://t.co/6eZ5g1V88j
My lovely Cognitive Science department is hiring for a Visiting Assistant Professor position, starting January 2024 and ending December 2024. 2/2 teaching load (our undergrads are WONDERFUL), renewable for a second year. https://t.co/6eZ5g1V88j
Amazing thread on Reddit about the AI model that used my art without my permission to train their model and even named it after me. Apparently I am the bad person for wanting to get it taken down, and wanting to “brigade” (??) it.
https://t.co/6rzXBosVrv
Ever wondered how nondeterministic GPT-4 is even with greedy decoding (T=0)? I built a website that asks GPT-4 to draw a unicorn every hour and tracks if the results stay consistent over time (spoiler alert: they don't! 🦄).
Explore the findings:
https://t.co/4VOT8Ko91m
Please do some crosswords for science! https://t.co/hOlwx52NAy
We're studying how people solve xwords, and we are looking for solvers of all experience levels: from novices to ACPTers. High-quality puzzles generously provided by the wonderful https://t.co/OSzFSiG8oU team.
We disentangle such overfitting from LMs' transferrable reasoning skills by introducing "counterfactual" variants of familiar tasks. Some of these, e.g. the drawing & music tasks, are not standard LM evaluations, but recent work has qualitatively observed these abilities in LMs.
An enjoyable talk about a new approach to some of the same kinds of analysis we often do with Word2Vec and the like, with a focus on cases of semantic change (something of special interest to me right now). Interested to see where things go with this work!
Exciting collaboration with @northernkender, Iris Luden (MSc Logic student in Amsterdam🚨), and @raquel_dmg
Looking forward to discussing the paper both before and during #ACL2023NLP :)
Someone asks a good question about how this introduces "subjectivity" (or fuzziness, variability, black box factor), detracting from the attractive "objectivity" of word embeddings. Would love a tool that exposes underlying clusters together with such qualitative representations
Are you a big fan of structure?
Have you ever wanted to apply the latest and greatest large language model out-of-the-box to parsing?
Are you a secret connoisseur of linear-time dynamic programs?
If you answered yes, our outstanding #ACL2023NLP paper may be just right for you!
Geoffrey Hinton arguing that similarities between human and LLM performance should convince us that LLMs understand things; as a linguist, I think the better way to update our priors is to recognize that a lot of our own language use is in fact spicy autocomplete #ACL2023NLP
Very enjoyable and crunchy dive into the gaps, imbalances, and other issues in comparing human and machine performance on various tasks, with a very engaging presentation too, at #ACL2023NLP