PhD Student in STAI (https://xitter.cf/t.co/iBdB99wZMc) at @uni_tue and @MPI_IS (IMPRS-IS), part of @KImachtSchule and @VivaconAgua. Also elinguyen in 🦋

Tübingen, Germany
Joined October 2019
📢 Deadline extension for ATTRIB @NeurIPSConf Sydney! We've pushed the submission deadline to **Sep 5 AoE**. Working on data attribution, data provenance, citations, or their downstream applications? We would love to see your work. 🔗 Submission link below.
The ATTRIB workshop is back at @NeurIPSConf 2026 (Sydney) in its 3rd edition! This year's focus: data attribution and provenance. -> Submissions open Aug 1, Deadline Sep 1 (AOE). More info: attrib-workshop.cc/
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Elisa Nguyen retweeted
And as we're on it, Uni Tuebingen also has two full professorships in AI currently open: careers.tuebingen.ai/?lang=e… Deadline Nov 15 These are actually really outstanding positions (even by German academic standards) with a ton of resources and great conditions!
Here’s the list with open positions in all the Tuebingen startups… tuebingenaicenter.github.io/…
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Elisa Nguyen retweeted
Interested in multilingualism and watermarking? Come now at poster 194! #EMNLP2026
🌍We've made LLM watermarking equally robust across all languages we studied. Scaling to 100+ languages! Even sota watermarks can be removed by translating to another language, eg. Tamil. This hits hardest in low-resource languages, where moderation tools are already weak. 🧵
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Elisa Nguyen retweeted
Work was done by the 🐐 Philipp Davydov along with: Matthias Bethge, Elisa Nguyen (@_elinguyen) and Seong Joon Oh (@coallaoh) Come say hi if you're around in EMNLP'26! I'm freee to chat! :D
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Elisa Nguyen retweeted
Presenting new work at #EMNLP26 by Philipp: How novel are LLM generations? N-grams limit us to study this problem on 5-20 token scales. We study this at 100x scale by using dense retrieval against the *full pretraining* corpus. 📌 Session 4 Today: Hall H, 16:00 - 17:30
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Elisa Nguyen retweeted
Roads used to suck. Then Google Maps happened. Trains still suck. So I built Google Maps for trains. 🚆 Introducing “Where is my train?” on DelayBahn 🗺️ Live trains + traffic 📍 Live train tracking 👥 Share your journey ⏰ Arrival alarms ⚠️ Report issues to help others Try it → delaybahn.com/wo-ist-mein-zu…
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Elisa Nguyen retweeted
We're hiring Applied AI faculty at Chicago Booth! We're looking for AI researchers who make core contributions to AI and also have significant impact in a domain, such as STEM or the social sciences. For example, my own work develops multimodal AI methods and applies them to healthcare. Kawin has already shared great information on who might be a good fit below, along with FAQs. I'll add a couple of things I've noticed since joining: 1. Faculty at Booth truly think outside the box and pursue big ideas, and being surrounded by that makes the ambition contagious. 2. Work that goes beyond developing a new AI method is genuinely valued. If you've ever felt your contributions were underappreciated because they're applied to a domain, you won't feel that here. 3. You can check out our AI seminar series to see what AI problems we’re discussing here already: chicagobooth.edu/faculty/res… Feel free to reach out if you have any questions!
We're hiring Applied AI faculty at UChicago Booth! This is a great fit for AI researchers who want to go into academia but don't see themselves being traditional CS professors (e.g., managing a big lab of students). apply.interfolio.com/194344 You might be right for this if: (1) You want to take the IC track. Industry has realized that talented researchers don't all want to be managers, so most companies have an Individual Contributor (IC) track that you can stay on as you become senior. This typically isn't an option in CS academia---your job from PhD -> faculty often becomes very different, one of funding and managing a lab. Lots of people like this, but a lot don't. At Booth, it's possible to stay an IC researcher---or run a much smaller research group if you want. (2) You want to not worry about funding. Almost all of my funding comes directly from the department, so I don't have to write many grants (in fact, you could choose to live an entirely grant-less lifestyle if you wish). Speaking to my PhD friends who went on to top CS departments, this is a major source of pain in the current funding environment. (3) You want to do slow science. We emphasize quality, not quantity. We want people who might only write one paper a year, but whose work goes on to have a big impact on the field. Impact can be measured in many different ways as well, not just by the number of citations you get. I'm entering my second year at Booth and have really enjoyed my time here, as someone who was in a CS dept from undergrad (UToronto) through PhD (Stanford).
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Elisa Nguyen retweeted
Accepted to @NeurIPSConf. 🥳 And way more relevant now than it was when we submitted (before all the hacking.) AI Agents Push Humans Out of the Loop. We can design them differently so that poor oversight is less of a risk.
🎊AI Agent oversight 🤖 solutions from @huggingface and @datasociety! Even before the OpenAI/HF Hack, we were seeing that the "human in the loop" mantra wasn't sufficient: AI agents are not being designed to maintain critical human attention arxiv.org/abs/2608.23642 1/
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Elisa Nguyen retweeted
Working on data attribution, data provenance, citations, or their downstream applications? Please consider submitring to ATTRIB@NeurIPS! We have an exciting lineup of speakers and our prev iterations were very successful (in fact, two of the organizers were past participants!)
📢 Deadline extension for ATTRIB @NeurIPSConf Sydney! We've pushed the submission deadline to **Sep 5 AoE**. Working on data attribution, data provenance, citations, or their downstream applications? We would love to see your work. 🔗 Submission link below.
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Elisa Nguyen retweeted
📢 Deadline extension for ATTRIB @NeurIPSConf Sydney! We've pushed the submission deadline to **Sep 5 AoE**. Working on data attribution, data provenance, citations, or their downstream applications? We would love to see your work. 🔗 Submission link below.
The ATTRIB workshop is back at @NeurIPSConf 2026 (Sydney) in its 3rd edition! This year's focus: data attribution and provenance. -> Submissions open Aug 1, Deadline Sep 1 (AOE). More info: attrib-workshop.cc/
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I am still looking for motivated researchers (postdocs and PhD students) to join my group at @ELLISInst_Tue! Priority areas: AI control and oversight for multi-agent coding systems, deception, collusion, contextual integrity in multi-principal agentic environments, and mechanisms for robust, safe, and efficient interactions. We offer very generous compute budget, research freedom, no teaching load, and an exciting collaborative environment with research exchanges and co-supervision between awesome groups. Further details about multiple projects will be shared soon! If you are interested, please fill out this form: docs.google.com/forms/d/e/1F…
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1 week until submissions close for ATTRIB at @NeurIPSConf in Sydney! Working on data attribution, provenance, or their applications? We would love to see your work. 📅 Deadline: 1 Sep AOE 📝 Main track: 3–6 pages 💡 Idea track: 2–4 pages 🔗 Submit: openreview.net/group?id=Neur…
The ATTRIB workshop is back at @NeurIPSConf 2026 (Sydney) in its 3rd edition! This year's focus: data attribution and provenance. -> Submissions open Aug 1, Deadline Sep 1 (AOE). More info: attrib-workshop.cc/
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Elisa Nguyen retweeted
Working on AI-generated citations? Using AI data attribution in applied domains like copyright, medical applications, or legal work that demands precision? Submit your work to the 3rd edition of the ATTRIB Workshop at NeurIPS 2026 in Sydney, Australia! attrib-workshop.cc/
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The ATTRIB workshop is back at @NeurIPSConf 2026 (Sydney) in its 3rd edition! This year's focus: data attribution and provenance. -> Submissions open Aug 1, Deadline Sep 1 (AOE). More info: attrib-workshop.cc/
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We welcome submissions on any aspect of data attribution and provenance, including but not limited to contributive & corroborative attribution, downstream applications, attribution of synthetic data.
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🚀 @ELLISInst_Tue will lead the AI development for Germany’s new open-source nationwide Adaptive Intelligent System (AIS) learning platform for schools – and we’re #hiring! We are part of a national consortium led by Assecor and @KImachtSchule, and mandated by the FWU. Join us to push the boundaries of #AI in education and build the core intelligence that will power adaptive learning for millions of teachers and pupils in real classrooms. We’re developing cutting-edge AI tutoring models, knowledge tracing, and recommendation systems to provide high-quality, personalised learning for all students—regardless of background. 🔹 Several full-time ML roles (2–3 years) 🔹 Top-tier AI research environment 🔹 From prototypes to production-ready solutions for national-scale impact 🔹 Open to on-site, hybrid & remote 👉 Apply now (quick & easy): forms.gle/XmLkwEDD45fY5cfY8 (or via [email protected]) We work closely with our amazing collaborators at Assecor, @KImachtSchule (@stes_io, @SchulzAuguste), Tübingen AI Center (@MatthiasBethge), the Hector Research Institute of Education Sciences and Psychology (Ulrich Trautwein), the Tübingen Center for Digital Education (Andreas Lachner) and the @IWMtue (@ucress). Let’s shape the future of AI-powered education together. 🔥 #AI #MachineLearning #EdTech #hiring #OpenSource #MLJobs
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Elisa Nguyen retweeted
Very cool resource by @davidbau: NDIF. Hosted models larger than 50B dedicated to explainability research, both through web and API. See layer activation, run traces, change weights, all through NDIF. Neat! David said this really well: most interpability research is done on far from SoTA models, and this could solve that. docs.google.com/presentation…
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Elisa Nguyen retweeted
Finally got the job ad—looking for 2 PhD students to start spring next year: gao-unit.com/join-us/ If comp neuro, ML, and AI4Neuro is your thing, or you just nerd out over brain recordings, apply! I'm at neurips. DM me here / on the app or email if you want to meet 🏖️🌮
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