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3DLLM-Mem won the best paper of Foundation Models Meet Embodied Agents Workshop! Congrats to our first author Wenbo Hu

It was a privilege to present in the Google booth our work: RefVNLI: Scalable Evaluation of Subject-driven Text-to-Image Generation (refvnli.github.io) – led by Aviv Slobodkin

And finally, our work Unblocking Fine-Grained Caption Evaluation: AutoRater & Critic-and-Revise (lnkd.in/df94d8eD) – led by Brian Gordon

Happy to announce that our paper “EditInspector: A Benchmark for Evaluation of Text-Guided Image Edits” was accepted to #ACL2025 🎉 📄 arxiv.org/abs/2506.09988 🌐 editinspector.github.io

Happy to share our new work, EditInspector, that is also accepted to #ACL2025! Congrats Ron Yosef for leading! Check out editinspector.github.io for more details

Happy to share two #UCLA (w/ Kai-Wei Chang Aditya Grover) papers won 🏆 Best Paper at recent workshops! 1️⃣ VideoPhy-2 @ World Models Workshop #ICML2025 Congrats Clark Peng Hritik Bansal! videophy2.github.io 2️⃣ 3DLLM-Mem @ Foundation Models Meet Embodied Agents #CVPR2025