Lab webpage: http://cpl.mit.edu/
Personal webpage: https://www.mit.edu/~rplevy
Language models (LMs) are remarkably good at generating novel well-formed sentences, leading to claims that they have mastered grammar.
Yet they often assign higher probability to ungrammatical strings than to grammatical strings.
How can both things be true? 🧵👇
Language models (LMs) are remarkably good at generating novel well-formed sentences, leading to claims that they have mastered grammar.
Yet they often assign higher probability to ungrammatical strings than to grammatical strings.
How can both things be true? 🧵👇
(more examples below)
(more examples below)
Very excited about this new paper:
www.pnas.org/doi/10.1073/pnas.2300671120
Key Q: what predicts how much young kids (👶)talk?
How much 🗣 kids heard predicted how much 👶talked, but other factors, e.g. mom’s education, didn’t. #PsychSci #DevPsy 🗣💬
INCOMING SUMMARY🧵ALERT 1/14
Very excited about this new paper:
www.pnas.org/doi/10.1073/pnas.2300671120
Key Q: what predicts how much young kids (👶)talk?
How much 🗣 kids heard predicted how much 👶talked, but other factors, e.g. mom’s education, didn’t. #PsychSci #DevPsy 🗣💬
INCOMING SUMMARY🧵ALERT 1/14
https://www.wsj.com/science/whats-wrong-with-peer-review-e5d2d428?st=dhrnljoa74fujcv&reflink=desktopwebshare_permalink
https://www.wsj.com/science/whats-wrong-with-peer-review-e5d2d428?st=dhrnljoa74fujcv&reflink=desktopwebshare_permalink
https://www.wsj.com/science/whats-wrong-with-peer-review-e5d2d428?st=dhrnljoa74fujcv&reflink=desktopwebshare_permalink
I will be chairing the search; details are here: apply.interfolio.com/130336
I will be chairing the search; details are here: apply.interfolio.com/130336
It’s almost Glushko season!
cognitivesciencesociety.org/glushko-diss...
It’s almost Glushko season!
cognitivesciencesociety.org/glushko-diss...
www.language-intelligence-thought.net
www.language-intelligence-thought.net
tinyurl.com/nhh2dhxt
#PsychSciSky #NeuroSkyence
tinyurl.com/nhh2dhx
#PsychSciSky #CogSci #CogPsyc #compneuro
tinyurl.com/nhh2dhxt
#PsychSciSky #NeuroSkyence
"Large language models show human-like content biases in transmission chain experiments"
#CulturalEvolution #cssky 🧪
www.pnas.org/doi/10.1073/...
"Large language models show human-like content biases in transmission chain experiments"
#CulturalEvolution #cssky 🧪
www.pnas.org/doi/10.1073/...
#DevPsych #CogPsych #PsychSciSky #CogSciSky
#DevPsych #CogPsych #PsychSciSky #CogSciSky
@stephan-meylan.bsky.social's "How adults understand what young children say", featuring Bayesian noisy-channel inference, LLMs, & child speech datasets!
TL;DR: prior expectations of what kids *want to say* is crucial. (Knowing how kids mispronounce words is too.)
@stephan-meylan.bsky.social's "How adults understand what young children say", featuring Bayesian noisy-channel inference, LLMs, & child speech datasets!
TL;DR: prior expectations of what kids *want to say* is crucial. (Knowing how kids mispronounce words is too.)
@jennhu.bsky.social's EMNLP paper now available camera-ready!
TL;DR: direct probability measurements show LLMs' linguistic generalizations are better than suggested by prompt-based tests.
Paper: arxiv.org/abs/2305.13264
Original thread: twitter.com/_jennhu/stat...
@jennhu.bsky.social's EMNLP paper now available camera-ready!
TL;DR: direct probability measurements show LLMs' linguistic generalizations are better than suggested by prompt-based tests.