activity
20212026
most citedOpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models

71 citations · 135 across the 14 of their papers we have counts for

collaborators
Showing cs.CVShow all

8 papers · 1 filter

cs.CV2026

NitroGen: An Open Foundation Model for Generalist Gaming Agents

Loïc Magne, Anas Awadalla, Guanzhi Wang +11

We introduce NitroGen, a vision-action foundation model for generalist gaming agents that is trained on 40,000 hours of gameplay videos across more than 1,000 games. We incorporate…

cs.CV2024

BLIP3-KALE: Knowledge Augmented Large-Scale Dense Captions

Anas Awadalla, Le Xue, Manli Shu +13

We introduce BLIP3-KALE, a dataset of 218 million image-text pairs that bridges the gap between descriptive synthetic captions and factual web-scale alt-text. KALE augments synthet…

cs.CV2024

xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations

Can Qin, Congying Xia, Krithika Ramakrishnan +16

We present xGen-VideoSyn-1, a text-to-video (T2V) generation model capable of producing realistic scenes from textual descriptions. Building on recent advancements, such as OpenAI'…

cs.CV2024★ 1 cited

xGen-MM (BLIP-3): A Family of Open Large Multimodal Models

Le Xue, Manli Shu, Anas Awadalla +30

This paper introduces BLIP-3, an open framework for developing Large Multimodal Models (LMMs). The framework comprises meticulously curated datasets, a training recipe, model archi…

cs.CV2024★ 1 cited

MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens

Anas Awadalla, Le Xue, Oscar Lo +11

Multimodal interleaved datasets featuring free-form interleaved sequences of images and text are crucial for training frontier large multimodal models (LMMs). Despite the rapid pro…

cs.CV2024

GenEARL: A Training-Free Generative Framework for Multimodal Event Argument Role Labeling

Hritik Bansal, Po-Nien Kung, P. Jeffrey Brantingham +2

Multimodal event argument role labeling (EARL), a task that assigns a role for each event participant (object) in an image is a complex challenge. It requires reasoning over the en…

cs.CV2023★ 71 cited

OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models

Anas Awadalla, Irena Gao, Josh Gardner +13

We introduce OpenFlamingo, a family of autoregressive vision-language models ranging from 3B to 9B parameters. OpenFlamingo is an ongoing effort to produce an open-source replicati…

cs.CV2023★ 17 cited

Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text

Wanrong Zhu, Jack Hessel, Anas Awadalla +7

In-context vision and language models like Flamingo support arbitrarily interleaved sequences of images and text as input. This format not only enables few-shot learning via interl…