Ehud Reiter @EhudReiter
I am a computer scientist who works on natural language generation and evaluation, often in healthcare contexts. I teach at Aberdeen University. ehudreiter.com Aberdeen, Scotland Joined May 2014-
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ChatGPT overuses certain words, notably "delve" Why? Turns out it was trained by RLHF workers from Africa In Nigeria, “delve” is much more frequently used in business English than in England or the US. So we are ending up with an AI system that writes slightly like an African
Wow, improperly used AI leads to dead bodies... theguardian.com/technology/202…
Nice to see @TheEconomist has published another letter about AI from me, this time about AI/Medicine economist.com/letters/2024/0…
Well designed/executed human evals are great, but poorly designed/executed eval meaningless. So frustrating that many human (and auto) eval in NLP are really bad... Need to educate people, but the people who need help dont read research papers on evaluation. What to do?
New blog: Real-world usage of LLMs in Journalism ehudreiter.com/2024/04/23/usa…
Abdn CS seminar on 24 April: Safety in conversational AI: Meaning is massively influenced by context (Tanvi Dinkar) abdn.ac.uk/ncs/seminars/2…
Below is shocking to me, since I attended this US high school for a few years! cnn.com/2024/04/18/us/…
Scholars aspire to expand the boundaries of knowledge but I must admit I've really enjoyed contracting the boundaries of knowledge. My favorite kind of research has involved questioning consensus. Do we really know what we think we know, or are we falling for hype and groupthink?
The best thing you will read about "AI" today. LOL funny + spot on.
The best thing you will read about "AI" today. LOL funny + spot on.
Congratulations to @DeweiYi and Pradip Sharma for being promoted to Senior Lecturer!
Again asked by non-AI people about gen AI. * wont enslave or wipe our humanity, or destroy society * real potential to enhance productivity and quality of life, including for poor/deprived * real-world impact likely to take years I guess media finds above sentiments boring...
The 12 types of ML papers. (created by @natashajaques @maxhkw) #MachineLearning #ML #DataScience
The beginning of the end of Amazon's "Alexa"? arstechnica.com/gadgets/2024/0…
Tips for good evaluation: 1) Evaluate what is important 2) Dont use obsolete techniques 3) Use good test data 4) Use strong baselines 5) Avoid data contamination 6) Compute stat significance 7) Make exper replicable 8) Carefully execute exper 9) Peer review 10) Answer questions
Tips for good evaluation: 1) Evaluate what is important 2) Dont use obsolete techniques 3) Use good test data 4) Use strong baselines 5) Avoid data contamination 6) Compute stat significance 7) Make exper replicable 8) Carefully execute exper 9) Peer review 10) Answer questions
Reading job applications. Tip: if you want me to consider your application, include a cover letter which explicitly says why you are interested in my position (or contact me separately by email if you prefer). Otherwise I will assume you have no interest in my research project
Congratulations to our student @BarkaviS for her first paper at a major conference (NAACL)! It shows that LLMs can do better at table-to-text (fewer errors) if their input data is well structured. arxiv.org/abs/2404.04103
New blog: Ten tips on doing a good evaluation This blog basically summarises some key points about evaluation whcih I have made in previous blogs ehudreiter.com/2024/04/08/ten…
INLG 2024 (inlg2024.github.io) will be hosted in Tokyo, Japan, between 23-27 September! Check out the call for papers and for workshops/tutorials! #NLProc #INLG2024
(((ل()(ل() 'yoav))).. @yoavgo
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658 Followers 861 Following Chair & Interdisciplinary Director of Data and AI, Professor of Machine Learning @aberdeenuni || opinions are my own || AberdeenML - formerly at @unilincoln
Aberdeen Jewish Commu.. @aberdeenjc
126 Followers 128 Following Welcome to the Twitter page of Aberdeen Synagogue and Jewish Community! We are a traditional, small and thriving community.
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Computing Science | U.. @ABDNCompSci
253 Followers 19 Following News about Computing Science at the University of Aberdeen. We RT to inform, not to endorse.
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There's a simple reason why current AI and older ML efforts did/will not affect drug discovery and other empirical domains of science much: The overwhelming bottleneck isn't hypothesis generation, it's hypothesis *testing* 1. science.org/content/blog-p… 2. sciencedirect.com/science/articl…
ChatGPT overuses certain words, notably "delve" Why? Turns out it was trained by RLHF workers from Africa In Nigeria, “delve” is much more frequently used in business English than in England or the US. So we are ending up with an AI system that writes slightly like an African
Truly outstanding work by @hannahrosekirk on pluralistic alignment -- releasing an exciting novel dataset and providing a through analysis subjective and multicultural alignment 🤩😍💯❤️🔥🦾
Today we're launching PRISM, a new resource to diversify the voices contributing to alignment. We asked 1500 people around the world for their stated preferences over LLM behaviours, then we observed their contextual preferences in 8000 convos with 21 LLMs arxiv.org/abs/2404.16019
@EhudReiter Oh that's a well known story Ehud. The ones who need the most help aren't there to get it 🙄 used to have to preach the importance of regular attendance to those actually there, not the missing ones! 🙄
This. I've been saying this. I've warned companies not to do this.
If you have to program AI with drag and drop workflow builders I'm out. How many times do we have to learn that programming with graphical workflows suck.
I think it would be much more fruitful at this stage to build task-specific agents, such as flight booking, rather than generalist agents. To tackle the reliability problem your agent design has to be task-specific. Similar thoughts in this thread: x.com/lateinteractio…
I worry about a bubble burst once people realize that no AGI is near—no reliably generalist LLMs or “agents”. Might seem less ambitious but it's far wiser to recognize: LLMs mainly create opportunities for making *general* progress for building AIs that solve *specific* tasks.
A few ethics-related issues, among them: - Fact vs Fiction: This is rewriting history. Minimally, needs mechanisms in place (C2PA and/or watermarking) so future handling of GenAI images can be marked as such - Consent: Likeness edited w/o consent - Disclosure: People need to know…
Netflix has used AI-generated images in a new true crime doc ‘WHAT JENNIFER DID’ to present Jennifer Pan as happy & confident before she was convicted of murder. Use of AI tools is not disclosed in the credits. (Source: petapixel.com/2024/04/15/net…)
Goodbye to Aberdeen, it was a really good visit -- lots of good discussions, and many new and old research connections. And even some bright sunshine!
Scholars aspire to expand the boundaries of knowledge but I must admit I've really enjoyed contracting the boundaries of knowledge. My favorite kind of research has involved questioning consensus. Do we really know what we think we know, or are we falling for hype and groupthink?
The best thing you will read about "AI" today. LOL funny + spot on.
No one owes AI a participation trophy aftermath.site/humane-ai-marq…
In my usual station but taking a different train today -- day trip up to Aberdeen to give a talk!
@EhudReiter Sensible opinions, but rubbish for getting media attention and for self-promotion 🫤
I think having _a_ paper when you apply for a PhD is a good sign. It shows you are willing to put in the effort, you know the process, and (often) some staff member believed it was worth their time working with you. Personally, I don’t care much about the venue and the “count”.
Not the one who told Noam this, but I don't filter based on paper counts. I find publication record to often be more of a distraction than a helpful signal ¯\_(ツ)_/¯
The 12 types of ML papers. (created by @natashajaques @maxhkw) #MachineLearning #ML #DataScience
The beginning of the end of Amazon's "Alexa"? arstechnica.com/gadgets/2024/0…
New paper alert! Designing reliable human evaluation is both crucial and difficult. Human raters can exhibit different behaviors when rating NLG outputs. These differences are not generally due to a rater performing the task incorrectly, but rather due to differences in…
Back in November, Google announced 2.2 milllion new materials. Today, a paper in Chemistry of Materials from Ram Seshadri and Tony Cheetham dismantles that claim pubs.acs.org/doi/10.1021/ac…
Introducing GNoME: an AI tool that helped discover 2.2 million new crystals. 💎 Crystals are found in everything from the chips powering our phones to solar cells creating clean energy. The model also better predicts the stability of new materials. 🧵 dpmd.ai/GNoME-AI
Tomorrow afternoon @navatintarev will kick off the "ML, Explain Yourself!" conference in Utrecht with a keynote! Make sure to tune in if you're attending 🧑🔬🔍 For a full overview of the conference 👉 ephil.ai/event/conferen…
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