Gabriel Ilharco

Language models scale reliably with over-training and on downstream tasks

arXiv 2024

DataComp: In search of the next generation of multimodal datasets

NeurIPS 2023 11

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

arXiv 2023

TaskWeb: Selecting Better Source Tasks for Multi-task NLP

arXiv 2023

Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

arXiv 2022

CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object Navigation

CVPR 2023 1

Editing Models with Task Arithmetic

arXiv 2022

Reproducible scaling laws for contrastive language-image learning

CVPR 2023 1

Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP

arXiv 2022

Adaptive Testing of Computer Vision Models

ICCV 2023 1

Robust fine-tuning of zero-shot models

robust-fine-tuning-of-zero-shot-models-1

Ludwig Schmidt

professor

Mitchell Wortsman

Ali Farhadi

CEO

Hannaneh Hajishirzi

professor

Jenia Jitsev

Samir Yitzhak Gadre

Pang Wei Koh

Shuran Song

Simon Kornblith

Yair Carmon