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Omer Moussa retweeted
Apr 2
We have 1-2 more extra spots due to new funding -- apply by end of April!
21 Nov 2025
We’re hiring PhD students and postdocs on LLM theory and interpretability!
Topics:
1️⃣ abilities & limitations of transformers and other architectures;
2️⃣ LLM interpretability;
3️⃣ foundations of LLM reasoning;
4️⃣ foundations of AI safety.
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Omer Moussa retweeted
Mar 30
Interested in pursuing a PhD in NLP/cog-sci? Studying language learning in LMs from the perspective of human language acquisition?
Check out this position -- few more days to apply!!
(plz RT!) ⬇️⬇️⬇️
Mar 10
📢 PhD position in Developmental Language Modelling (plz RT🙏)
What can human language acquisition teach us about training language models? Join us as a PhD!
4 yrs, fully funded, MPI-NL; april 3
mpi.nl/career-education/vaca…
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Omer Moussa retweeted
Mar 10
📢 PhD position in Developmental Language Modelling (plz RT🙏)
What can human language acquisition teach us about training language models? Join us as a PhD!
4 yrs, fully funded, MPI-NL; april 3
mpi.nl/career-education/vaca…
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Omer Moussa retweeted
12 Nov 2025
📢 I'm recruiting PhD students at MPI!!
Topics include:
1⃣ LLM factuality, reliable info synthesis and reasoning, personalization applications in real-world inc. education, science
2⃣ Data-centric interpretability
3⃣Creativity in AI, esp scientific applications 🧵1/2
ALT Kaiserslautern city
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Omer Moussa retweeted
4 Sep 2025
So excited and honored to receive an ERC Starting Grant for the project BrainAlign!! BrainAlign will bring LLMs closer to human understanding by directly aligning them with the human brain.
Stay tuned for our findings, and multiple postdoc and PhD openings in the coming years!
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19 Aug 2025
If you are attending @ISCAInterspeech, I will be giving a talk today on this work, where we show that brain-tuning speech models leads to brain-like processing stages.
Looking forward to the discussion and questions!
🗓️ Aug 19, 16:00.
📍Port 1A (Area 01)
#Interspeech2025
10 Jun 2025
🚨Excited to share our latest work published at Interspeech 2025: “Brain-tuned Speech Models Better Reflect Speech Processing Stages in the Brain”! 🧠🎧
arxiv.org/abs/2506.03832
W/ @mtoneva1
We fine-tuned speech models directly with brain fMRI data, making them more brain-like.🧵
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10 Jun 2025
🚨Excited to share our latest work published at Interspeech 2025: “Brain-tuned Speech Models Better Reflect Speech Processing Stages in the Brain”! 🧠🎧
arxiv.org/abs/2506.03832
W/ @mtoneva1
We fine-tuned speech models directly with brain fMRI data, making them more brain-like.🧵
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10 Jun 2025
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Impressively, brain-tuning not only changes the hierarchy to be more brain-like but also enhances brain alignment and downstream performance, leading to more effective model organisms than existing pretrained models, which lag behind in performance and semantic hierarchy.
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10 Jun 2025
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For more information, check our paper on Arxiv. Many thanks to Prof. @mtoneva1 for her close supervision and incredible effort in this work. Stay tuned for more cool brain-tuning work to come!
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25 Apr 2025
If you are attending @iclr_conf, come check out our poster on brain-tuning, a work where we show that fine-tuning speech models with brain data improves their semantic understanding and downstream performance!
🗓️ Apr 26. 10 am-12:30.
📌Hall 3 Hall 2B #62
#ICLR2025
24 Oct 2024
We are so excited to share the first work that demonstrates consistent downstream improvements for language tasks after fine-tuning with brain data!!
Improving semantic understanding in speech language models via brain-tuning
arxiv.org/abs/2410.09230
W/ @dklakow, @mtoneva1
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24 Oct 2024
We are so excited to share the first work that demonstrates consistent downstream improvements for language tasks after fine-tuning with brain data!!
Improving semantic understanding in speech language models via brain-tuning
arxiv.org/abs/2410.09230
W/ @dklakow, @mtoneva1
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24 Oct 2024
9/ These results provide converging evidence for increased semantics in speech models after brain-tuning. For more details, please check out the paper on Arxiv!
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24 Oct 2024
10/ Huge thanks to all authors for their incredible effort and feedback, especially to Prof. @mtoneva1 for having me in her lab during this project and for her close supervision and feedback that taught me a great deal!
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