Augmenting subnetwork inference with information extracted from the scientific literature. - Sid Kiblawi; Deborah Chasman; Amanda Henning; Eunju Park; Hoifung Poon; Michael Gould; Paul Ahlquist; Mark Craven (PLoS Comput. Biol., 2019)

BigBio: A Framework for Data-Centric Biomedical Natural Language Processing. - Jason A. Fries; Leon Weber; Natasha Seelam; Gabriel Altay; Debajyoti Datta; Samuele Garda; Sunny Kang; Rosaline Su; Wojciech Kusa; Samuel Cahyawijaya; Fabio Barth; Simon Ott; et al. (NeurIPS, 2022)

BigBIO: A Framework for Data-Centric Biomedical Natural Language Processing. - Jason Alan Fries; Leon Weber; Natasha Seelam; Gabriel Altay; Debajyoti Datta; Samuele Garda; Myungsun Kang; Ruisi Su; Wojciech Kusa; Samuel Cahyawijaya; Fabio Barth; Simon Ott; et al. (CoRR, 2022)

Interactive Span Recommendation for Biomedical Text. - Louis Blankemeier; Theodore Zhao; Robert Tinn; Sid Kiblawi; Yu Gu 017; Akshay Chaudhari; Hoifung Poon; Sheng Zhang 012; Mu Wei; Joseph Preston (ClinicalNLP@ACL, 2023)

Boltzmann Attention Sampling for Image Analysis with Small Objects. - Theodore Zhao; Sid Kiblawi; Naoto Usuyama; Ho Hin Lee; Sam Preston; Hoifung Poon; Mu Wei (CVPR, 2025)

Universal Abstraction: Harnessing Frontier Models to Structure Real-World Data at Scale. - Cliff Wong; Sam Preston; Qianchu Liu; Zelalem Gero; Jass Bagga; Sheng Zhang 012; Shrey Jain; Theodore Zhao; Yu Gu 017; Yanbo Xu; Sid Kiblawi; Roshanthi Weerasinghe; et al. (CoRR, 2025)

X-Reasoner: Towards Generalizable Reasoning Across Modalities and Domains. - Qianchu Liu; Sheng Zhang 012; Guanghui Qin; Timothy Ossowski; Yu Gu 017; Ying Jin; Sid Kiblawi; Sam Preston; Mu Wei; Paul Vozila; Tristan Naumann; Hoifung Poon (CoRR, 2025)