Maria Ryskina

@mryskina.bsky.social

Postdoc @vectorinstitute.ai | organizer @queerinai.com | previously MIT, CMU LTI | 🐀 rodent enthusiast | she/they 🌐 https://ryskina.github.io/

Huge thanks to @wiair.bsky.social for hosting me -- I had an absolutely wonderful time chatting with @j-novikova-nlp.bsky.social and @malikeh97.bsky.social 🤩

Women in AI Research - WiAIR@wiair.bsky.social · 7mo ago

What does neuroscience say about how language models represent meaning, and why isn't scale enough? In this #WiAIRpodcast episode, we speak with @mryskina.bsky.social on neuroscience × AI, evaluation limits, interpretability, and why community shapes better research. 🎬 youtu.be/PQx4IvJR8Bg

Canadian researchers should be aware the there is a motion before the Parliamentary Standing Committee on Science and Research to force Tricouncils to hand over disaggregated peer review data on all applications: Applicant names, profiles, demographics Reviewers names, profiles, comments, and scores

I'm on the job market looking for CS/ischool faculty and related positions! I'm broadly interested in doing research with policymakers and communities impacted by AI to inform and develop mitigations to harms and risks. If you've included any of my work in syllabi or policy docs please let me know!

Grateful to keynote at #COLM2025. Here's what we're missing about AI alignment: Humans don’t cooperate just by aggregating preferences, we build social processes and institutions to generate norms that make it safe to trade with strangers. AI needs to play by these same systems, not replace them.

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Keynote at #COLM2025: Nicholas Carlini from Anthropic "Are language models worth it?" Explains that the prior decade of his work on adversarial images, while it taught us a lot, isn't very applied; it's unlikely anyone is actually altering images of cats in scary ways.

Check out @mryskina.bsky.social's talk and poster at COLM on Tuesday—we present a method to identify 'semantically consistent' brain regions (responding to concepts across modalities) and show that more semantically consistent brain regions are better predicted by LLMs.

Maria Ryskina@mryskina.bsky.social · 10mo ago

Interested in language models, brains, and concepts? Check out our COLM 2025 🔦 Spotlight paper! (And if you’re at COLM, come hear about it on Tuesday – sessions Spotlight 2 & Poster 2)!

Paper title: Language models align with brain regions that represent concepts across modalities.
Authors:  Maria Ryskina, Greta Tuckute, Alexander Fung, Ashley Malkin, Evelina Fedorenko. 
Affiliations: Maria is affiliated with the Vector Institute for AI, but the work was done at MIT. All other authors are affiliated with MIT. 
Email address: maria.ryskina@vectorinstitute.ai.

Interested in language models, brains, and concepts? Check out our COLM 2025 🔦 Spotlight paper! (And if you’re at COLM, come hear about it on Tuesday – sessions Spotlight 2 & Poster 2)!

Paper title: Language models align with brain regions that represent concepts across modalities.
Authors:  Maria Ryskina, Greta Tuckute, Alexander Fung, Ashley Malkin, Evelina Fedorenko. 
Affiliations: Maria is affiliated with the Vector Institute for AI, but the work was done at MIT. All other authors are affiliated with MIT. 
Email address: maria.ryskina@vectorinstitute.ai.

Super super thrilled that HALoGEN, our study of LLM hallucinations and their potential origins in training data, received an ✨Outstanding Paper Award✨ at ACL! Joint work w/i Shrusti Ghela*, David Wadden, and Yejin Choi bsky.app/profile/lash...

Abhilasha Ravichander@lasha.bsky.social · 2y ago

We are launching HALoGEN💡, a way to systematically study *when* and *why* LLMs still hallucinate. New work w/ Shrusti Ghela*, David Wadden, and Yejin Choi 💫 📝 Paper: arxiv.org/abs/2501.08292 🚀 Code/Data: github.com/AbhilashaRav... 🌐 Website: halogen-hallucinations.github.io 🧵 [1/n]

Looking forward to attending #cogsci2025 (Jul 29 - Aug 3)! I’m especially excited to meet students who will be applying to PhD programs in Computational Ling/CogSci in the coming cycle. Please reach out if you want to meet up and chat! Email is the best way, but DM also works if you must! quick🧵:

Placeholders for 3 students (number arbitrarily chosen) and me - to signify my eventual group!