Letiția Pârcălăbescu

Aleph Alpha

@letiepi

👩‍🎓 PhD, 🧠 AI Researcher, 📺 ML videos creator on YouTube: youtube.com/AICoffeeBreak
▶ @AICoffeeBreak

youtube.com/aicoffeebreak Joined August 2020

252 Following 1.4K Followers 425 Posts

Latest posts 5

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Letiția Pârcălăbescu @letiepi Aug 19, 2020

@letiepi has a new Twitter handle: @AICoffeeBreak. Keeping the professional profile separated from the private one.

Once again, I would like to express my gratitude for being on this amazing list!

Amit Chaudhary Verified account @amitness Jul 30, 2020

My favorite ML educators: [1/n]

- @JayAlammar: visual guides on NLP
- @fishnets88: intuition & real-world anecdotes
- @CShorten30, @ecsquendor, @ykilcher : netflix of research papers
- @letiepi: bite-size animated videos on ML
- @nlpguy_: experience on NLP in industry
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Letiția Pârcălăbescu @letiepi Oct 4

Proud to have helped build Kolibri 🐦 We brought our Merlin-Arthur work on grounding and hallucination reduction into the model.

Iteration one: scale brings its challenges, but the training pipeline lets us learn and iterate fast.

Aleph Alpha @Aleph__Alpha Oct 3

Small bird, fast wings, Kolibri is here.

78B parameters. 3.46B active. Up to 1M tokens of context. Built in Europe.

Now the weights are yours. Run it on your own hardware, under Apache 2.0.

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Letiția Pârcălăbescu @letiepi Apr 25, 2025

It was really great talking to many people at #ICLR in Singapore about my last paper written during my PhD! 📜

Letiția Pârcălăbescu @letiepi Apr 23, 2025

Letiția Pârcălăbescu Verified account @letiepi Jan 22, 2025

The last paper of my PhD @HD_NLP is accepted at ICLR 2025!🙌
We investigate the reliance of modern Vision & Language Models (VLMs) on image🖼️ vs. text📄 inputs when generating answers vs. explanations, revealing fascinating insights into their modality use and self-consistency.👇
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Letiția Pârcălăbescu @letiepi Jan 22, 2025

The last paper of my PhD @HD_NLP is accepted at ICLR 2025!🙌
We investigate the reliance of modern Vision & Language Models (VLMs) on image🖼️ vs. text📄 inputs when generating answers vs. explanations, revealing fascinating insights into their modality use and self-consistency.👇