Had an extremely inspiring day presenting my work yesterday at #NeurIPS2022@TrlWorkshop. Big thanks to the organisers and attendees.
We also won the best paper runner-up award with our work on prefix-tuning for data wrangling tasks 🥳
Efficient Optimization of Hierarchical Identifiers for Generative Recommendation
Proposes greedy & hybrid tree construction methods that reduce identifier building time to 2-8% while maintaining or improving retrieval quality.
📝https://t.co/qxJ3xpXCsp
👨🏽💻https://t.co/gchrBGoFU9
Proud supervisor moment :)
Do you need hierarchical identifiers for generative recommendations? You can actually be very efficient in your tree building 🧐
Work we did with excellent students from the RecSys course at @irlab_amsterdam. We’ll be presenting at ECIR 2026!
Efficient Optimization of Hierarchical Identifiers for Generative Recommendation
Proposes greedy & hybrid tree construction methods that reduce identifier building time to 2-8% while maintaining or improving retrieval quality.
📝https://t.co/qxJ3xpXCsp
👨🏽💻https://t.co/gchrBGoFU9
Revisiting Language Models in Neural News Recommender Systems
Studies the impact of language model sizes in news recommendation, finding that larger models don't always improve performance but help more with cold-start users.
📝https://t.co/fNHUbu70KB
Very happy to share my first project at NVIDIA! 🚀
We present Meshtron, a pure Transformer model that consistently reasons over 500k+ tokens to generate 3D meshes of outstanding quality.
Webpage: https://t.co/yiRoZpPn6j
w/ @zekunhao19951 @TsungYiLinCV & @liu_mingyu
🧵
My "looking for a postdoc" stickers and I are in Miami for #EMNLP2024! 🤩 Do you have/know of a postdoc for summer/autumn '25 related to interpretability, figlang and/or memorisation (vs generalisation)? Reach out! Looking forward to #GenBench2024 on Saturday and the many many...
Want to work on search for (news) media at one of the biggest publishers in the Netherlands? @DPGMediaIT is looking for an addition to their team. Great opportunity in my opinion: https://t.co/jRnKJnH3Fc
🇨🇦 Deeeelighted to share that this work got into #neurips2024. Many thanks to my dear friend and co-author @Dafidofff, as well as the rest of the team.
Solving PDEs in continuous space-time with Neural Fields on cool geometries while respecting their inherent symmetries! 💫💫
The Search Engines Amsterdam Meetup @irlab_amsterdam is back ✨ followed by drinks🍻
📆 Fri, Oct 4th
📍Lab42, room L3.33
⏰16.00
🚀James Allan (UMass) will talk about Probing Ranking LLMs: Mechanistic Interpretability in Information Retrieval
🔗https://t.co/aTgWT3Tpo1
Structured data is everywhere. Now we just need to unlock its potential!
A unique opportunity to go work with Madelon! And across the street from my office :)
📣📣 Check out ESSIR 2024's program!
We start with Transformers, Foundation Models, and Finetuning, followed by Generative IR, LLMs, (Neural) RecSys, LTR, Evaluation, Explainability, and Fairness.
ESSIR features FIDA and a week-long hackathon!
👩🏻💻 https://t.co/o7SUiOgwIy
SEA 🌊 is back! Join us on Friday, May 17th, when @olivierjeunen takes a critical look at evaluating recommender systems using nDCG!
Sign up here 👉: https://t.co/w9tHCdN4sq