Ece Takmaz

@ecekt.bsky.social

Postdoc at Utrecht University, previously PhD candidate at the University of Amsterdam Multimodal NLP, Vision and Language, Cognitively Inspired NLP https://ecekt.github.io/

The submission deadline for CMCL is coming up in less than a month! (Feb 25) CMCL will be co-located with LREC and take place on May 16!🌴https://sites.google.com/view/cmclworkshop/cfp

Ece Takmaz@ecekt.bsky.social · 8mo ago

Cognitive Modeling and Computational Linguistics (CMCL) workshop will be co-located with LREC 2026 in Palma, Mallorca!🌴Stay tuned for more details!✨ @byungdoh.bsky.social Tatsuki Kuribayashi @grambelli.bsky.social Philipp Wicke, Jixing Li, Ryo Yoshida @cmclworkshop.bsky.social

I was in Sweden this week! 🇸🇪❄️ Many thanks to Nikolai Ilinykh for inviting me to give a talk at the University of Gothenburg. I enjoyed having inspiring chats and delicious food with Sharid Loáiciga, @asayeed.bsky.social, Simon Dobnik, Hyewon Jang and Chris Howes at CLASP. Much appreciated! 😊🎄

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Just got back from Hawaii, where I presented a workshop paper on image memorability at @iccv.bsky.social 🌺 Coming from multimodal NLP, it was my first time attending a CV conference. Everywhere I looked, there were talks and posters that were incredibly interesting!

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🌍Introducing BabyBabelLM: A Multilingual Benchmark of Developmentally Plausible Training Data! LLMs learn from vastly more data than humans ever experience. BabyLM challenges this paradigm by focusing on developmentally plausible data We extend this effort to 45 new languages!

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What makes an image memorable? And can we predict image memorability using pretrained vision encoders? We explored activations, attention distributions, image patch uniformity and sparse autoencoder losses using image representations across the layers of CLIP, DINOv2 and SigLIP2.

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