Sepideh Mamooler@ACL🇦🇹

@smamooler.bsky.social

PhD Candidate at @icepfl.bsky.social | Ex Research Intern@Google DeepMind 👩🏻‍💻 Working on multi-modal AI reasoning models in scientific domains https://smamooler.github.io/

Also: not the usual #NLProc topic, but if you're working on genetic AI models, I’d love to connect! I'm exploring the intersection of behavioral genomics and multi-modal AI for behavior understanding.

Sepideh Mamooler@ACL🇦🇹@smamooler.bsky.social · last yr.

Excited to attend #ACL2025NLP in Vienna next week! I’ll be presenting our #NAACL2025 paper, PICLe, at the first workshop on Large Language Models and Structure Modeling (XLLM) on Friday. Come by our poster if you’re into NER and ICL with pseudo-annotation. arxiv.org/abs/2412.11923

🚨 New Preprint!! Thrilled to share with you our latest work: “Mixture of Cognitive Reasoners”, a modular transformer architecture inspired by the brain’s functional networks: language, logic, social reasoning, and world knowledge. 1/ 🧵👇

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Super excited to share that our paper "A Logical Fallacy-Informed Framework for Argument Generation" has received the Outstanding Paper Award 🎉🎉 at NAACL 2025! Paper: aclanthology.org/2025.naacl-l... Code: github.com/lucamouchel/... #NAACL2025

A Logical Fallacy-Informed Framework for Argument Generation

Luca Mouchel, Debjit Paul, Shaobo Cui, Robert West, Antoine Bosselut, Boi Faltings. Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Lingu...

aclanthology.org

Antoine Bosselut@abosselut.bsky.social · last yr.

(NAACL) Luca and @debjit-paul.bsky.social's work looks at how we can guide LLMs to generate logically sound arguments. Introducing FIPO: a fallacy-informed framework that improves preference optimization to help LLMs avoid logical fallacies in argumentation.

🚨 New Preprint!! LLMs trained on next-word prediction (NWP) show high alignment with brain recordings. But what drives this alignment—linguistic structure or world knowledge? And how does this alignment evolve during training? Our new paper explores these questions. 👇🧵

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