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The job ad is now online! elxw.fa.em3.oraclecloud.com/hcmUI/Candidat… Apply by April 8th, 2025!

📣This work will appear at the ICLR 2025 Workshop on Reasoning and Planning for LLMs.🇸🇬 I'm currently on the job market, looking for research scientist roles. Feel free to reach out if you're hiring or know of any opportunities!

Still ~10 days to apply! Fully funded until 2029, and includes access to our HPC infra and some amazing teams! EdinburghNLP

Still ~8 days to apply for a postdoc position in multimodal foundation models at School of Informatics, The University of Edinburgh -- plenty of research freedom and compute; funded until 2029; and the research teams are outstanding! neuralnoise.com/2025/multimoda…

We created Approximate Likelihood Matching, a principled (and very effective) method for *cross-tokenizer distillation*! With ALM, you can create ensembles of models from different families, convert existing subword-level models to byte-level and a bunch more🧵

My amazing collaborators will present several works at ICLR and NAACL later this month -- please catch up with them if you're attending! I tried to summarise our recent work in a blog post: neuralnoise.com/2025/march-res…

Grateful to be part of this! I'll be presenting our paper "Self-Training Large Language Models for Tool-Use Without Demonstrations" at #NAACL2025! Also, I am currently seeking PhD opportunities. Please feel free to reach out if you're recruiting or know of any openings! :)

To appear at #NAACL2025 (2 orals, 1 poster)! Coleman Haley: which classes of words are most grounded on (perceptual proxies of) meaning? Uri Berger: how do image descriptions vary across languages and cultures? Hanxu Hu: can LLMs follow sequential instructions? 🧵below

Happening now in Hall 3, booth 223!

Happy to share that our work won the best paper award at ESANN 2025! 🚀 Huge thanks to my amazing co-authors Matteo Zignani - RD Pasquale Minervini is hiring postdocs! 🚀 ✨ Read here: doi.org/10.14428/esann…

Sparse attention is one of the most promising strategies to unlock long-context processing and long generation reasoning in LLMs. We performed the most comprehensive study on training-free sparse attention to date. Here is what we found:

Main takeaway: Optimal scaling is not just about increasing model size but also attention sparsity.

Please catch up with Ne (Ne Luo (seeking PhD opportunities)) and the others (modulo visa issues) at NAACL!

NAACL 2025 Oral Presentation💥 Our work about using Sparse AutoEncoder to resolve knowledge conflict will present on 30 Apr 11:30–11:45 AM • Ballroom C Thank Hongru for presenting our work!!!

Hi! I will be attending #NAACL2025 and presenting our paper on self-training for tool-use today, an extended work of my MSc dissertation at EdinburghNLP, supervised by Pasquale Minervini is hiring postdocs! 🚀. Time: 14:00-15:30 Location: Hall 3 Let’s chat and connect!😊

#NAACL2025 🚀🚀🚀

New work! 💪🏻💥🤯 When Can Proxies Improve the Sample Complexity of Preference Learning? Our paper is accepted at ICML Conference 2025. Fantastic joint work with Daniel Augusto @zhengyan_shi Mengyue Yang Pasquale Minervini is hiring postdocs! 🚀 Alexander D'Amour (@alexdamour.bsky.social), Matt Kusner. 1/n

To appear at ICML 2025 (ICML Conference) as a spotlight! 🚀🚀🚀

We propose Neurosymbolic Diffusion Models! We find diffusion is especially compelling for neurosymbolic approaches, combining powerful multimodal understanding with symbolic reasoning 🚀 Read more 👇