5 citations · 5 across the 5 of their papers we have counts for
5 papers
NeoMME: A Single-Tower Multimodal-Native Multilingual Foundation Encoder for Efficient Fine-Tuning and Inference
Aurélien Lac, Tony Wu
Multimodal models often build on architectures designed for generative vision-language modeling, typically combining separately pretrained vision encoders with causal language mode…
LiteAttention: A Temporal Sparse Attention for Diffusion Transformers
Dor Shmilovich, Tony Wu, Aviad Dahan +1
Diffusion Transformers, particularly for video generation, achieve remarkable quality but suffer from quadratic attention complexity, leading to prohibitive latency. Existing accel…
Surfer 2: The Next Generation of Cross-Platform Computer Use Agents
Mathieu Andreux, Märt Bakler, Yanael Barbier +50
Building agents that generalize across web, desktop, and mobile environments remains an open challenge, as prior systems rely on environment-specific interfaces that limit cross-pl…
Surfer-H Meets Holo1: Cost-Efficient Web Agent Powered by Open Weights
Mathieu Andreux, Breno Baldas Skuk, Hamza Benchekroun +41
We present Surfer-H, a cost-efficient web agent that integrates Vision-Language Models (VLM) to perform user-defined tasks on the web. We pair it with Holo1, a new open-weight coll…
ColPali: Efficient Document Retrieval with Vision Language Models
Manuel Faysse, Hugues Sibille, Tony Wu +4
Documents are visually rich structures that convey information through text, but also figures, page layouts, tables, or even fonts. Since modern retrieval systems mainly rely on th…