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Yet another poorly implemented benchmark...

Really interesting discussion with local GPs about one of our "AI for patients" projects. Highlighted importance of specific use case, and how well this fit into NHS workflows and processes.

Marking UG/MSc projects in applied AI. Cant discuss individual cases, but some students spend most of their time understand domain, user requirements, cleaning data; and others spend almost all their time building and testing models. First group is closer to my perspective!

Someone just asked me how my blogs are licensed, they wnat to reuse them. If anyone else is interested, its a CC BY 4.0 license. (ie, you need to acknowledge source if you reuse them).

Hi, everyone. I’m working on a project about using AI to generate clinical letters and I’d love your help! I’m looking for people to take part in a online survey where you’ll read letters and answer a few questions about how clear, comforting, and helpful. forms.office.com/e/TM6F2J7H0j

New blog: Key messages from my NLG book Its been 6 months since my NLG book was released. I summarise what I think are its key messages, for rule-based NLG, ML and neural NLG, requirements, evaluation, safety/testing/maintainability, and applications. ehudreiter.com/2025/05/14/key…

Going on holiday to Japan soon. Looking forward to it, but also a bit of a shame to leave aberdeen now (below is 10 min walk from my house)

Excited to announce the 1st Workshop on Large Language Models for Cross-Temporal Research at COLM 2025 on Oct 10 in Montreal 🇨🇦 LLMs are hindered in their understanding of time due to temporal biases, conflicting knowledge, and tokenization that fragments dates, leading to

Aberdeen CS is looking for a new lecturer in CyberSecurity! Closing date is 13 June abdn.ac.uk/jobs/vacancies…

On holiday for 2 weeks in Japan (Kansai), with my wife Ann and daughter Miriam (who will study Japanese in autumn). Amazing place, very diverse (below pic is from old silver mine we visited yesterday). Also had good visit to NAIST, who also do research in using AI to help patient

New blog: The Aberdeen NLP Research Group Learn about our NLP research group! ehudreiter.com/2025/06/05/the…

Reviews are variable. I see many complaints about poor reviews, but some reviews are good. I was very happy with recent set of reviews for a journal submission: positive, didnt wait long, constructive, made me think, will definitely improve my paper. My thanks to the reviewers!

Some worrying discussions about research quality. Many people pressured to produce lots of papers. Since res qual not checked, pressure to take shortcuts, ignore warning signs, skip double-checking (etc) of exper. Plus dubious things like run exper 100 times, report best result

Fascinating keynote by Alison ONeil at Healtex. One key point is that in her space, omissions are bigger problem than hallucination since harder for readers to detect. Not surprisingly omissions more common for rare phenomenon

Really enjoying Healtex . Nice size (100 people), topic I care about (medical apps of NLP), interesting talks and people. And easy to get to, only 2.5 hrs by train from Aberdeen. Wish there were mire like this

Congratulations to my student Adarsa Sivaprasad for winning a best PhD student poster award at Healtex , for her work on "A conversational agent to address patient needs for out-of-distribution explanations"!

Fascinating discussion with clinician about LLM texts we want to show to patients. Pointed out that some of the material in LLM text came from websites of private clinics which are trying to encourage patients to sign up for expensive and profitable interventions.

New blog: Patients want to know what information an AI model considers Adarsa Sivaprasad is exploring what questions users of AI health prediction model actually have. Many questions about what information a model considers, fewer about how model works ehudreiter.com/2025/06/25/pat…

If a woman is considering IVF and uses an AI model to predict liklihood of success (having a baby), what questions and explanations would she ask for? Below shows that questions about what information model considers are more likely than questions about how model works

Looked at Google Scholar, nice to see that my h-index has reached 60