Deep Learning based Framework for Automatic Damage Detection in Aircraft Engine Borescope Inspection. - Zejiang Shen 001; Xili Wan; Feng Ye; Xinjie Guan; Shuwen Liu 003 (ICNC, 2019)

A Large Dataset of Historical Japanese Documents with Complex Layouts. - Zejiang Shen 001; Kaixuan Zhang; Melissa Dell (CVPR Workshops, 2020)

Generating Object Stamps. - Youssef Alami Mejjati; Zejiang Shen 001; Michael Snower; Aaron Gokaslan; Oliver Wang; James Tompkin 001; Kwang In Kim (CoRR, 2020)

OLALA: Object-Level Active Learning Based Layout Annotation. - Zejiang Shen 001; Jian Zhao 010; Melissa Dell; Yaoliang Yu; Weining Li (CoRR, 2020)

PAWLS: PDF Annotation With Labels and Structure. - Mark Neumann; Zejiang Shen 001; Sam Skjonsberg (ACL (demo), 2021)

LayoutParser: A Unified Toolkit for Deep Learning Based Document Image Analysis. - Zejiang Shen 001; Ruochen Zhang; Melissa Dell; Benjamin Charles Germain Lee; Jacob Carlson; Weining Li (ICDAR (1), 2021)

Incorporating Visual Layout Structures for Scientific Text Classification. - Zejiang Shen 001; Kyle Lo; Lucy Lu Wang; Bailey Kuehl; Daniel S. Weld; Doug Downey (CoRR, 2021)

Multi-LexSum: Real-world Summaries of Civil Rights Lawsuits at Multiple Granularities. - Zejiang Shen 001; Kyle Lo; Lauren Yu; Nathan Dahlberg; Margo Schlanger; Doug Downey (NeurIPS, 2022)

Don't Say What You Don't Know: Improving the Consistency of Abstractive Summarization by Constraining Beam Search. - Daniel King; Zejiang Shen 001; Nishant Subramani; Daniel S. Weld; Iz Beltagy; Doug Downey (CoRR, 2022)

VILA: Improving Structured Content Extraction from Scientific PDFs Using Visual Layout Groups. - Zejiang Shen 001; Kyle Lo; Lucy Lu Wang; Bailey Kuehl; Daniel S. Weld; Doug Downey (Trans. Assoc. Comput. Linguistics, 2022)

Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents. - Catherine Chen 002; Zejiang Shen 001; Dan Klein 001; Gabriel Stanovsky; Doug Downey; Kyle Lo (ACL (Findings), 2023)

PaperMage: A Unified Toolkit for Processing, Representing, and Manipulating Visually-Rich Scientific Documents. - Kyle Lo; Zejiang Shen 001; Benjamin Newman; Joseph Chee Chang; Russell Authur; Erin Bransom; Stefan Candra; Yoganand Chandrasekhar; Regan Huff; Bailey Kuehl; Amanpreet Singh; Chris Wilhelm; et al. (EMNLP (Demos), 2023)

Conceptualizing Machine Learning for Dynamic Information Retrieval of Electronic Health Record Notes. - Sharon Jiang; Shannon Shen 001; Monica Agrawal; Barbara D. Lam; Nicholas Kurtzman; Steven Horng; David R. Karger; David A. Sontag (MLHC, 2023)

American Stories: A Large-Scale Structured Text Dataset of Historical U.S. Newspapers. - Melissa Dell; Jacob Carlson; Tom Bryan; Emily Silcock; Abhishek Arora 003; Zejiang Shen 001; Luca D'Amico-Wong; Quan Le; Pablo Querubin; Leander Heldring (NeurIPS, 2023)

The Semantic Scholar Open Data Platform. - Rodney Kinney; Chloe Anastasiades; Russell Authur; Iz Beltagy; Jonathan Bragg; Alexandra Buraczynski; Isabel Cachola; Stefan Candra; Yoganand Chandrasekhar; Arman Cohan; Miles Crawford; Doug Downey; et al. (CoRR, 2023)

The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces. - Kyle Lo; Joseph Chee Chang; Andrew Head; Jonathan Bragg; Amy X. Zhang; Cassidy Trier; Chloe Anastasiades; Tal August; Russell Authur; Danielle Bragg; Erin Bransom; Isabel Cachola; et al. (CoRR, 2023)

Beyond Summarization: Designing AI Support for Real-World Expository Writing Tasks. - Zejiang Shen 001; Tal August; Pao Siangliulue; Kyle Lo; Jonathan Bragg; Jeff Hammerbacher; Doug Downey; Joseph Chee Chang; David A. Sontag (CoRR, 2023)

Towards Verifiable Text Generation with Symbolic References. - Lucas Torroba Hennigen; Shannon Shen 001; Aniruddha Nrusimha; Bernhard Gapp; David A. Sontag; Yoon Kim (CoRR, 2023)

Learning to Decode Collaboratively with Multiple Language Models. - Zejiang Shen 001; Hunter Lang; Bailin Wang; Yoon Kim; David A. Sontag (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)

A Design Space for Intelligent and Interactive Writing Assistants. - Mina Lee 002; Katy Ilonka Gero; John Joon Young Chung; Simon Buckingham Shum; Vipul Raheja; Hua Shen 005; Subhashini Venugopalan; Thiemo Wambsganss; David Zhou; Emad A. Alghamdi; Tal August; Avinash Bhat; et al. (CHI, 2024)

A Data-Centric Approach To Generate Faithful and High Quality Patient Summaries with Large Language Models. - Stefan Hegselmann; Shannon Shen 001; Florian Gierse; Monica Agrawal; David A. Sontag; Xiaoyi Jiang 001 (CHIL, 2024)

SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature. - David Wadden; Kejian Shi; Jacob Morrison; Aakanksha Naik; Shruti Singh 001; Nitzan Barzilay; Kyle Lo; Tom Hope; Luca Soldaini; Shannon Zejiang Shen; Doug Downey; Hannaneh Hajishirzi; et al. (CoRR, 2024)

Machine learning to predict notes for chart review in the oncology setting: a proof of concept strategy for improving clinician note-writing. - Sharon Jiang; Barbara D. Lam; Monica Agrawal; Shannon Shen 001; Nicholas Kurtzman; Steven Horng; David R. Karger; David A. Sontag (J. Am. Medical Informatics Assoc., 2024)

The Semantic Reader Project. - Kyle Lo; Joseph Chee Chang; Andrew Head; Jonathan Bragg; Amy X. Zhang; Cassidy Trier; Chloe Anastasiades; Tal August; Russell Authur; Danielle Bragg; Erin Bransom; Isabel Cachola; et al. (Commun. ACM, 2024)

When One LLM Drools, Multi-LLM Collaboration Rules. - Shangbin Feng; Wenxuan Ding 001; Alisa Liu; Zifeng Wang 002; Weijia Shi; Yike Wang 002; Zejiang Shen 001; Xiaochuang Han; Hunter Lang; Chen-Yu Lee; Tomas Pfister; Yejin Choi 001; et al. (CoRR, 2025)

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium. - Amin Adibi; Xu Cao; Zongliang Ji; Jivat Neet Kaur; Winston Chen; Elizabeth Healey; Brighton Nuwagira; Wenqian Ye; Geoffrey Woollard; Maxwell A. Xu; Hejie Cui; Johnny Xi; et al. (CoRR, 2025)

SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models. - Yung-Sung Chuang; Benjamin Cohen-Wang; Shannon Zejiang Shen; Zhaofeng Wu; Hu Xu 001; Xi Victoria Lin; James R. Glass; Shang-wen Li 001; Wen-tau Yih (CoRR, 2025)

Retrieval-augmented systems can be dangerous medical communicators. - Lionel Wong; Ayman Ali; Raymond Xiong; Shannon Zejiang Shen; Yoon Kim; Monica Agrawal (CoRR, 2025)