Rendering-Aware Reinforcement Learning for Vector Graphics Generation RLRF significantly outperforms supervised fine-tuning, addressing common failure modes and enabling precise, high-quality SVG generation with strong structural understanding and generalization

Thanks AK for sharing our work! Excited to present our next generation of SVG models, now using Reinforcement Learning from Rendering Feedback (RLRF). 🧠 We think we cracked SVG generalization with this one. Go read the paper! arxiv.org/abs/2505.20793 More details on

🚗💥Introducing Ctrl-Crash: controllable video generation for autonomous driving! SOTA models struggle to generate physically realistic car crashes. We propose an image2video diffusion model with bounding box and crash type control. Website: anthonygosselin.github.io/Ctrl-Crash-Pro… 🧵->

Our new model for controllable car crash generation is out!!! 🚗💥🚙 Sora, Cosmos and other "SOTA" video generation models look good, but have horrible physics. Ctrl-crash generates all types of crashes for a given scene in a realistic way.

Ctrl-Crash Controllable Diffusion for Realistic Car Crashes

Congratulations to Yoshua Bengio on launching LawZero - LoiZéro — a research effort to advance safe-by-design AI, especially as frontier systems begin to exhibit signs of self-preservation and deceptive behaviour.

🚀 We just released the final test split of #RepLiQA —our dataset for evaluating QA on truly unseen content! 📚 Dataset: huggingface.co/datasets/Servi… 📝 NeurIPS ’24: neurips.cc/virtual/2024/p… Big thanks to my amazing co-authors @ ServiceNow Research ! 🙌 #RAG #LLMs #NLP #QA

🚀 Our method, Poutine, was the best-performing entry in the 2025 Waymo Vision-based End-to-End Driving Challenge at #CVPR2025! Our 3 B-parameter VLM Poutine scored 7.99 RFS on the official test set—comfortably ahead of every other entry (see figure).

Luke Rowe and Rod dominated the Waymo end-to-end vision challenge at CVPR. But we couldn't officially win because we're from Quebec (?)

A great team work with Gaurav Marius Mosbach Siva Reddy Thank you Alexandre Drouin @alex_lacoste Chris Pal Maxime Gasse Pete Shaw Tianbao Xie Yu Su (hiring postdoc) McGill NLP for feedback and sharing agreements/disagreements on the position! x.com/xhluca/status/…

In December 2024 Pankaj Gupta Gilad Mishne Will Horn and I put out a rather cryptic arXiv paper musing about the future of search: arxiv.org/abs/2412.18956. I’m now able to share what I’ve been up to! 🧵(1/9)

We’re releasing SelvaBox, the largest tropical tree detection dataset from drone imagery. Our models trained on SelvaBox achieve competitive zero-shot detection performance on unseen tropical tree crown datasets, matching or exceeding competing methods. arxiv.org/abs/2507.00170

Finally finished a blog post I've been working on (on and off) for months. It builds on a TMLR paper I published last year in model-based optimisation, but I wanted to explain things more clearly this time. More honest, more readable, more reflective. beckham.nz/2025/07/01/mod…

I think listening to this, with an amplifier set to 11, would be appropriate today. youtu.be/zY5nYmTUfnQ?si…

We built a new 𝗮𝘂𝘁𝗼𝗿𝗲𝗴𝗿𝗲𝘀𝘀𝗶𝘃𝗲 + 𝗥𝗟 image editing model using a strong verifier — and it beats SOTA diffusion baselines using 5× less data. 🔥 𝗘𝗔𝗥𝗟: a simple, scalable RL pipeline for high-quality, controllable edits. 🧵1/

UI-Vision vs GPT-5: Still holding the crown 👑 and far from saturation. GPT-5 has strengths in coding and reasoning, but when it comes to computer-use tasks, it’s still awkward to rely on it alone. And our team's UI-Vision (ICML 2025) remains a key and still unbeaten multimodal

Glad to see OpenAI prioritizing abstention responses in their paper! That's a great intro to our TMLR paper in which we developed an iterative self-reflection method for LLM to know when to abstain without ground truth and no additional cost at test time. openreview.net/pdf?id=SvKPfch…

Alexandre L.-Piché Perfect time for for OpenAI to talk about reducing hallucinations! Cause you know, our work on learning to abstain by iterative self-reflection with Alexandre L.-Piché Aristides and Chris Pal has just got accepted at TMLR 😉

SLAM Labs presents Apriel-1.5-15B-Thinker 🚀 An open-weights multimodal reasoning model that hits frontier-level performance with just a fraction of the compute.

Huan Sun (Huan Sun (hiring postdocs)) on improving safety of AI agents -- capabilities and safety should go hand-in-hand, not an afterthought -- definition: safety is unintentional alignment, and security involves adversarial attacks. For this talk, safety also involves security. -- Safety has to