13 citations · 13 across the 4 of their papers we have counts for
4 papers
Reshoot-Anything: A Self-Supervised Model for In-the-Wild Video Reshooting
Avinash Paliwal, Adithya Iyer, Shivin Yadav +2
Precise camera control for reshooting dynamic videos is bottlenecked by the severe scarcity of paired multi-view data for non-rigid scenes. We overcome this limitation with a highl…
Rethinking Kernel Program Repair: Benchmarking and Enhancing LLMs with RGym
Kareem Shehada, Yifan Wu, Wyatt D. Feng +4
Large Language Models (LLMs) have revolutionized automated program repair (APR) but current benchmarks like SWE-Bench predominantly focus on userspace applications and overlook the…
Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs
Shengbang Tong, Ellis Brown, Penghao Wu +11
We introduce Cambrian-1, a family of multimodal LLMs (MLLMs) designed with a vision-centric approach. While stronger language models can enhance multimodal capabilities, the design…
STENCIL: Submodular Mutual Information Based Weak Supervision for Cold-Start Active Learning
Nathan Beck, Adithya Iyer, Rishabh Iyer
As supervised fine-tuning of pre-trained models within NLP applications increases in popularity, larger corpora of annotated data are required, especially with increasing parameter…