Eva Portelance

Asst. Prof. of AI/CogSci @HEC_Montreal and @Mila_Quebec; Prev PhD @Stanford
Studying language learning and understanding in humans and AIs! She/They

[Eva Portelance @EvaPortelance]

Here’s an open source link to our new Nature Computational Science paper: https://t.co/VYHoNMa4QE

[Masoud @linguistMasoud]

There's been lots of discussion on generative linguistics and generative AI. @EvaPortelance and I chime in here, suggesting that Neural Language Models (NLMs) reinforce key tenets of Chomsky’s approach in at least 3 fundamental ways, and that in turn, generative linguistics can

[Seowoo Han @swhan0329]

https://t.co/Rv7IyyYeGh

[IVADO @IVADO_Qc]

Advancing understanding of human and artificial reasoning.

🔷 Last week, #IVADO brought together nearly 70 experts for an intensive three-day workshop on the Cognitive Basis of Reasoning, as part of the Computational Ingredients of Reasoning thematic semester.

[Karim Jerbi @karimjerbineuro]

🔴 Live: Panel discussion #1: @ MAIN2025

The future of Neuroscience - The role of AI ? 

with Andreas Tolias, Siva Reddy, Joao Sacramento, Ching Fang + Eva Portelance

Moderated by Patrick Mineault @patrickmineault
#MAIN2025

[Eva Portelance @EvaPortelance]

@peter_richtarik Journals in my field are making double blind reviewing optional. I personally sign my reviews because I stand by what I say and care. Taking the anonymity away even optionally could help; at least you know that if they chose to put their name to it they stand by what it said.

[Mila - Institut québécois d'IA @Mila_Quebec]

Félicitations à la professeure de Mila @EvaPortelance pour son article publié dans Nature Computational Science! Lisez son billet de blogue sur la manière dont le langage humain peut aider à améliorer les modèles d'IA: https://t.co/4Ki0ptJDmc

[Mila - Institut québécois d'IA @Mila_Quebec]

Congratulations to Mila professor @EvaPortelance for her paper published in Nature Computational Science! Read her blog post on how human language can help improve AI models: https://t.co/mW2wuyNlqO

[Nature Computational Science @NatComputSci]

A Perspective from @EvaPortelance and @linguistMasoud discusses the compatibility between generative artificial intelligence and generative linguistics, and how this is reshaping language
processing research.

➡️https://t.co/buZoOdPNcx

🔓https://t.co/5raAynuXUt

🧵(3/13)

[Masoud @linguistMasoud]

There's been lots of discussion on generative linguistics and generative AI. @EvaPortelance and I chime in here, suggesting that Neural Language Models (NLMs) reinforce key tenets of Chomsky’s approach in at least 3 fundamental ways, and that in turn, generative linguistics can

[Nature Computational Science @NatComputSci]

📢A Perspective from @EvaPortelance and @linguistMasoud discusses the compatibility between generative artificial intelligence and generative linguistics. https://t.co/jZfXpTw0tJ

🔓https://t.co/5raAynvvK1

[Eva Portelance @EvaPortelance]

Studying the dynamics of joint inference over many input sources is an important new direction for language modeling and learning research in both CogSci and AI; It may help explain language acquisition in constrained learning settings.5/5

[Eva Portelance @EvaPortelance]

New open-access Paper out in Journal of Memory and Language! 🎉🎉with @sivareddyg and Tim J. O'Donnell
https://t.co/REm2x87YXN
1/5

[Eva Portelance @EvaPortelance]

Joint learning makes language acquisition easier for learners by mutually constraining the hypotheses spaces for both syntax and semantics. Simultaneous access to linguistic and visual-grounding input allows models to exploit the synergistic information between them.4/5

[noahdgoodman @noahdgoodman]

Congrats to OAI on producing a reasoning model! Their opaque tweets demonstrate that they’ve (independently) found some of the core ideas that we did on our way to STaR.

[Mila - Institut québécois d'IA @Mila_Quebec]

Benno Krojer (@benno_krojer) presented his spotlight paper « Learning Action and Reasoning-Centric Image Editing from Videos and Simulation » at @NeurIPSConf. Here is a summary of his research in one minute.

[Benno Krojer @benno_krojer]

Presented the AURORA paper together with some of the awesome co-authors @chrisjpal @sivareddyg @ludolara from @Mila_Quebec

Tons of fun, 3h of non-stop chatting and exchange of ideas, now pretty exhausted 😅

[Masoud @linguistMasoud]

In the past two years I have been slowly removing deadlines in my undergrad teaching and allowing students to have multiple attempts for an assignment. The results have been positive so far so I'm sharing the idea here. Two things have been bothering me in teaching: 1. we know

[Eva Portelance @EvaPortelance]

Chomskyan principles still offer a relevant framework to think about how AI models have the potential to impact how theoretical linguistics is studied in the future, in particular models that learn structured representations like neural grammar induction models.

[Eva Portelance @EvaPortelance]

New preprint by @linguistMasoud and I 🎉 Connecting seminal ideas from generative linguistics (theory adequacy, procedures, learnability and UG) to LMs and grammar induction models - discussing how AI and theoretical linguistics may serve each other: https://t.co/lxqPCl16Rc