Are You Smarter Than a Sixth Grader? Textbook Question Answering for Multimodal Machine Comprehension. - Aniruddha Kembhavi; Min Joon Seo; Dustin Schwenk; Jonghyun Choi; Ali Farhadi; Hannaneh Hajishirzi (CVPR, 2017)

Imagine This! Scripts to Compositions to Videos. - Tanmay Gupta; Dustin Schwenk; Ali Farhadi; Derek Hoiem; Aniruddha Kembhavi (ECCV (8), 2018)

Artificial Agents Learn Flexible Visual Representations by Playing a Hiding Game. - Luca Weihs; Aniruddha Kembhavi; Winson Han; Alvaro Herrasti; Eric Kolve; Dustin Schwenk; Roozbeh Mottaghi; Ali Farhadi (CoRR, 2019)

RoboTHOR: An Open Simulation-to-Real Embodied AI Platform. - Matt Deitke; Winson Han; Alvaro Herrasti; Aniruddha Kembhavi; Eric Kolve; Roozbeh Mottaghi; Jordi Salvador; Dustin Schwenk; Eli VanderBilt; Matthew Wallingford; Luca Weihs; Mark Yatskar; et al. (CVPR, 2020)

X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers. - Jaemin Cho 001; Jiasen Lu; Dustin Schwenk; Hannaneh Hajishirzi; Aniruddha Kembhavi (EMNLP (1), 2020)

Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text. - Christopher Clark; Jordi Salvador; Dustin Schwenk; Derrick Bonafilia; Mark Yatskar; Eric Kolve; Alvaro Herrasti; Jonghyun Choi; Sachin Mehta; Sam Skjonsberg; Carissa Schoenick; Aaron Sarnat; et al. (EMNLP (1), 2021)

Learning Generalizable Visual Representations via Interactive Gameplay. - Luca Weihs; Aniruddha Kembhavi; Kiana Ehsani; Sarah M. Pratt; Winson Han; Alvaro Herrasti; Eric Kolve; Dustin Schwenk; Roozbeh Mottaghi; Ali Farhadi (ICLR, 2021)

A-OKVQA: A Benchmark for Visual Question Answering Using World Knowledge. - Dustin Schwenk; Apoorv Khandelwal 001; Christopher Clark; Kenneth Marino; Roozbeh Mottaghi (ECCV (8), 2022)

Objaverse: A Universe of Annotated 3D Objects. - Matt Deitke; Dustin Schwenk; Jordi Salvador; Luca Weihs; Oscar Michel; Eli VanderBilt; Ludwig Schmidt; Kiana Ehsani; Aniruddha Kembhavi; Ali Farhadi (CVPR, 2023)

What's In My Big Data? - Yanai Elazar; Akshita Bhagia; Ian Magnusson; Abhilasha Ravichander; Dustin Schwenk; Alane Suhr; Pete Walsh; Dirk Groeneveld; Luca Soldaini; Sameer Singh 001; Hanna Hajishirzi; Noah A. Smith; et al. (CoRR, 2023)

Imitating Shortest Paths in Simulation Enables Effective Navigation and Manipulation in the Real World. - Kiana Ehsani; Tanmay Gupta; Rose Hendrix; Jordi Salvador; Luca Weihs; Kuo-Hao Zeng; Kunal Pratap Singh; Yejin Kim 003; Winson Han; Alvaro Herrasti; Ranjay Krishna; Dustin Schwenk; et al. (CoRR, 2023)

OLMo: Accelerating the Science of Language Models. - Dirk Groeneveld; Iz Beltagy; Evan Pete Walsh; Akshita Bhagia; Rodney Kinney; Oyvind Tafjord; Ananya Harsh Jha; Hamish Ivison; Ian Magnusson; Yizhong Wang; Shane Arora; David Atkinson; et al. (ACL (1), 2024)

Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research. - Luca Soldaini; Rodney Kinney; Akshita Bhagia; Dustin Schwenk; David Atkinson; Russell Authur; Ben Bogin; Khyathi Raghavi Chandu; Jennifer Dumas; Yanai Elazar; Valentin Hofmann; Ananya Harsh Jha; et al. (ACL (1), 2024)

SPOC: Imitating Shortest Paths in Simulation Enables Effective Navigation and Manipulation in the Real World. - Kiana Ehsani; Tanmay Gupta; Rose Hendrix; Jordi Salvador; Luca Weihs; Kuo-Hao Zeng; Kunal Pratap Singh; Yejin Kim 003; Winson Han; Alvaro Herrasti; Ranjay Krishna; Dustin Schwenk; et al. (CVPR, 2024)

What's In My Big Data? - Yanai Elazar; Akshita Bhagia; Ian Magnusson; Abhilasha Ravichander; Dustin Schwenk; Alane Suhr; Evan Pete Walsh; Dirk Groeneveld; Luca Soldaini; Sameer Singh 001; Hannaneh Hajishirzi; Noah A. Smith; et al. (ICLR, 2024)

Paloma: A Benchmark for Evaluating Language Model Fit. - Ian Magnusson; Akshita Bhagia; Valentin Hofmann; Luca Soldaini; Ananya Harsh Jha; Oyvind Tafjord; Dustin Schwenk; Evan Pete Walsh; Yanai Elazar; Kyle Lo; Dirk Groeneveld; Iz Beltagy; et al. (NeurIPS, 2024)

OLMo: Accelerating the Science of Language Models. - Dirk Groeneveld; Iz Beltagy; Pete Walsh; Akshita Bhagia; Rodney Kinney; Oyvind Tafjord; Ananya Harsh Jha; Hamish Ivison; Ian Magnusson; Yizhong Wang; Shane Arora; David Atkinson; et al. (CoRR, 2024)

OLMoE: Open Mixture-of-Experts Language Models. - Niklas Muennighoff; Luca Soldaini; Dirk Groeneveld; Kyle Lo; Jacob Morrison; Sewon Min; Weijia Shi; Pete Walsh; Oyvind Tafjord; Nathan Lambert 001; Yuling Gu; Shane Arora; et al. (CoRR, 2024)

OLMoE: Open Mixture-of-Experts Language Models. - Niklas Muennighoff; Luca Soldaini; Dirk Groeneveld; Kyle Lo; Jacob Morrison; Sewon Min; Weijia Shi; Evan Pete Walsh; Oyvind Tafjord; Nathan Lambert 001; Yuling Gu; Shane Arora; et al. (ICLR, 2025)

2 OLMo 2 Furious. - Team OLMo; Pete Walsh; Luca Soldaini; Dirk Groeneveld; Kyle Lo; Shane Arora; Akshita Bhagia; Yuling Gu; Shengyi Huang; Matt Jordan; Nathan Lambert 001; Dustin Schwenk; et al. (CoRR, 2025)

FlexOlmo: Open Language Models for Flexible Data Use. - Weijia Shi; Akshita Bhagia; Kevin Farhat; Niklas Muennighoff; Pete Walsh; Jacob Morrison; Dustin Schwenk; Shayne Longpre; Jake Poznanski; Allyson Ettinger; Daogao Liu; Margaret Li; et al. (CoRR, 2025)