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!
03.12.2025 17:36
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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 π
26.11.2025 08:32
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AgentCoMa
AgentCoMa is an Agentic Commonsense and Math benchmark where each compositional task requires both commonsense and mathematical reasoning to be solved. The tasks are set in real-world scenarios:β¦
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 π
28.08.2025 14:01
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Excited to share our ICLR and NAACL papers! Please come and say hi, we're super friendly :)
22.04.2025 18:42
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gen ai
We will help to transform science, industry, the economy and society through developing the next generation of generative AI models.
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 moreβ‘οΈ www.genai.ac.uk
04.03.2025 11:10
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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.
05.03.2025 09:54
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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
04.03.2025 18:37
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Do LLMs need rationales for learning from mistakes? π€
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!
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13.02.2025 15:38
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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
14.01.2025 13:39
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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...
22.12.2024 09:46
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Description
Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities ment...
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-...
24.12.2024 00:23
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Meta-Reasoning Improves Tool Use in Large Language Models
External tools help large language models (LLMs) succeed at tasks where they would otherwise typically fail. In existing frameworks, LLMs learn tool use either by in-context demonstrations or via full...
Hi Bluesky, would like to introduce myself π
I am PhD-ing at Imperial College under @marekrei.bsky.socialβs supervision. I am broadly interested in LLM/LVLM reasoning & planning π€ (hereβs our latest work arxiv.org/abs/2411.04535)
Do reach out if you are interested in these (or related) topics!
20.11.2024 11:26
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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
20.11.2024 08:35
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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...
16.11.2024 00:34
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