Ali Farhadi
CEO of the Allen Institute for AI (AI2); professor at the University of Washington; computer vision pioneer (YOLO co-author).
- Role
- CEO
- Currently at
- Allen Institute for AI (Ai2)
- twitter.com/alifarhadi
- Scholar
- scholar.google.com/citations
- Papers
- 33
Cite
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Authored papers
33MolmoAct2: Action Reasoning Models for Real-world Deployment
arXiv 2026
MolmoSpaces: A Large-Scale Open Ecosystem for Robot Navigation and Manipulation
arXiv 2026
Molmo2: Open Weights and Data for Vision-Language Models with Video Understanding and Grounding
arXiv 2026
WildDet3D: Scaling Promptable 3D Detection in the Wild
arXiv 2026
SERA: Soft-Verified Efficient Repository Agents
arXiv 2026
Olmo 3
arXiv 2025
OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens
arXiv 2025
Contrastive Flow Matching
ICCV 2025
OlmoEarth: Stable Latent Image Modeling for Multimodal Earth Observation
arXiv 2025
MolmoAct: Action Reasoning Models that can Reason in Space
arXiv 2025
FlexOlmo: Open Language Models for Flexible Data Use
arXiv 2025
2 OLMo 2 Furious
arXiv 2024
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models
CVPR 2025 1
OLMoE: Open Mixture-of-Experts Language Models
arXiv 2024
From an Image to a Scene: Learning to Imagine the World from a Million 360 Videos
arXiv 2024
Superposed Decoding: Multiple Generations from a Single Autoregressive Inference Pass
arXiv 2024
Learning to Build by Building Your Own Instructions
arXiv 2024
Stable and low-precision training for large-scale vision-language models
NeurIPS 2023 11
DataComp: In search of the next generation of multimodal datasets
NeurIPS 2023 11
Bytes Are All You Need: Transformers Operating Directly On File Bytes
arXiv 2023
AdANNS: A Framework for Adaptive Semantic Search
NeurIPS 2023 11
Localized Symbolic Knowledge Distillation for Visual Commonsense Models
localized-symbolic-knowledge-distillation-for
Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement
ICCV 2023 1
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
arXiv 2022
Matryoshka Representation Learning
arXiv 2022
Editing Models with Task Arithmetic
arXiv 2022
What does a platypus look like? Generating customized prompts for zero-shot image classification
ICCV 2023 1
Robust fine-tuning of zero-shot models
robust-fine-tuning-of-zero-shot-models-1
Defending Against Neural Fake News
defending-against-neural-fake-news-1
Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index
real-time-open-domain-question-answering-with-1
AI2-THOR: An Interactive 3D Environment for Visual AI
arXiv 2017
A Diagram Is Worth A Dozen Images
arXiv 2016
Unsupervised Deep Embedding for Clustering Analysis
arXiv 2015
Affiliations
Frequent co-authors
10from 33 papers
Hannaneh Hajishirzi
professor
Ranjay Krishna
Dirk Groeneveld
Luca Soldaini
Noah A. Smith
Pang Wei Koh
Taira Anderson
Winson Han
Eli VanderBilt
Jacob Morrison
research-engineer