TalTech in Estonia is recruiting for two new Associate Professors. One in Data Science, another in Software Engineering. The position comes with funding for 2 PhD students and a post-doc. Application deadline 15 Feb 2026. www.linkedin.com/feed/update/...

At #NeurIPS2025 today, @lisaalaz.bsky.social is presenting our joint paper on Reverse Engineering Human Preferences with Reinforcement Learning! Demonstrating undetectable attacks on LLM-as-a-judge benchmarks. Great collaboration with @cohereforai.bsky.social and a well-deserved NeurIPS spotlight!

Happy to be in Delhi (India) to give a talk on AI in education. My first time here, so any suggestions for must-see or must-do things are welcome 🙂

Imperial College London is hiring 4 new Assistant/Associate Professors, in various areas of computing research. Application deadline 15 December. www.imperial.ac.uk/jobs/search-...

To learn more: Website: agentcoma.github.io Preprint: arxiv.org/abs/2508.19988 A big thanks to my brilliant coauthors Lihu Chen, Ana Brassard, @joestacey.bsky.social, @rahmanidashti.bsky.social and @marekrei.bsky.social! Note: We welcome submissions to the #AgentCoMa leaderboard from researchers 🚀

Excited to share our ICLR and NAACL papers! Please come and say hi, we're super friendly :)

We are excited to celebrate the launch of the #GenAIHubLaunch today. The Hub's mission is to unlock the next generation of Generative AI technologies. Congratulations to our Director, A. Aldo Faisal, for co-leading the Hub's Healthcare Working Group. Find out more➡️ www.genai.ac.uk

Congratulations to our colleagues at @ai4healthcentre.bsky.social, including Aldo and Marek, for the launch of Nightingale AI. We are delighted you chose our event to announce this exciting initiative.

Today was the launch event of the @genaihub.bsky.social. We announced the development of Nightingale AI, a foundation world model for health. It was great to be on the panel for GenAI in Healthcare, among such amazing experts. www.genai.ac.uk

Do LLMs need rationales for learning from mistakes? 🤔 When LLMs learn from previous incorrect answers, they typically observe corrective feedback in the form of rationales explaining each mistake. In our new preprint, we find these rationales do not help, in fact they hurt performance! 🧵

We have a funded PhD position available at @imperialcollegeldn.bsky.social to research LLMs for healthcare. Co-supervised by Aldo Faisal and myself. Applicable only for UK home students and would have to start already in Feb 2025. If interested, please contact me. @imperial-nlp.bsky.social

We're hiring a lecturer or reader in embodied NLP at the University of Edinburgh! Deadline: 31 Jan 2025 Call for applications: elxw.fa.em3.oraclecloud.com/hcmUI/Candid...

We are hiring 6 lecturers at @imperialcollegeldn.bsky.social to work on AI, ML, graphics, vision, quantum and software engineering. This includes researchers working on LLMs, NLP, generative models and text applications. Deadline 6 Jan. @imperial-nlp.bsky.social www.imperial.ac.uk/jobs/search-...

Hi Bluesky, would like to introduce myself 🙂 I am PhD-ing at Imperial College under @marekrei.bsky.social’s supervision. I am broadly interested in LLM/LVLM reasoning & planning 🤖 (here’s our latest work arxiv.org/abs/2411.04535) Do reach out if you are interested in these (or related) topics!

Welcome to Bluesky to more of our NLP researchers at Imperial!! Looking forward to following everyone's work on here. To follow us all click 'follow all' in the starter pack below go.bsky.app/Bv5thAb

Quick intro to myself. I am a CS PhD in LLM Agents @imperial-nlp.bsky.social with @marekrei.bsky.social. This is our latest work on LLM Agents: StateAct: arxiv.org/abs/2410.02810 (outperforming ReAct by ~10%). Feel free to reach out for collaboration.

Extending pretrained LM-inspired architectures for genome modeling and releasing a tool for predicting epigenetic signals while being cell type-agnostic. Happy to be a co-author on this excellent paper by @Al_Murphy_ , now in Nature Communications. www.nature.com/articles/s41...

I recently wrote down 68 short summaries of ML and NLP papers. The aim is to give a quick overview of the core research contributions, without all the packaging. www.marekrei.com/blog/68-summ...