Moving beyond the Turing Test with the Allen AI Science Challenge. - Carissa Schoenick; Peter Clark; Oyvind Tafjord; Peter D. Turney; Oren Etzioni (Commun. ACM, 2017)

Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge. - Peter Clark; Isaac Cowhey; Oren Etzioni; Tushar Khot; Ashish Sabharwal; Carissa Schoenick; Oyvind Tafjord (CoRR, 2018)

Extracting evidence of supplement-drug interactions from literature. - Lucy Lu Wang; Oyvind Tafjord; Sarthak Jain; Arman Cohan; Sam Skjonsberg; Carissa Schoenick; Nick Botner; Waleed Ammar (CoRR, 2019)

SUPP.AI: finding evidence for supplement-drug interactions. - Lucy Lu Wang; Oyvind Tafjord; Arman Cohan; Sarthak Jain; Sam Skjonsberg; Carissa Schoenick; Nick Botner; Waleed Ammar (ACL (demo), 2020)

From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project. - Peter Clark; Oren Etzioni; Tushar Khot; Daniel Khashabi; Bhavana Dalvi Mishra; Kyle Richardson 001; Ashish Sabharwal; Carissa Schoenick; Oyvind Tafjord; Niket Tandon; Sumithra Bhakthavatsalam; Dirk Groeneveld; et al. (AI Mag., 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)

Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge. - Sumithra Bhakthavatsalam; Daniel Khashabi; Tushar Khot; Bhavana Dalvi Mishra; Kyle Richardson 001; Ashish Sabharwal; Carissa Schoenick; Oyvind Tafjord; Peter Clark (CoRR, 2021)

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models. - Matt Deitke; Christopher Clark; Sangho Lee 008; Rohun Tripathi; Yue Yang 006; Jae Sung Park; Mohammadreza Salehi; Niklas Muennighoff; Kyle Lo; Luca Soldaini; Jiasen Lu; Taira Anderson; et al. (CoRR, 2024)

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models. - Matt Deitke; Christopher Clark; Sangho Lee 001; Rohun Tripathi; Yue Yang 006; Jae Sung Park; Mohammadreza Salehi; Niklas Muennighoff; Kyle Lo; Luca Soldaini; Jiasen Lu; Taira Anderson; et al. (CVPR, 2025)

OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens. - Jiacheng Liu 010; Taylor Blanton; Yanai Elazar; Sewon Min; Yen-Sung Chen; Arnavi Chheda-Kothary; Huy Tran; Byron Bischoff; Eric Marsh; Michael Schmitz 002; Cassidy Trier; Aaron Sarnat; et al. (CoRR, 2025)