Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis. - Quoc V. Le; Will Y. Zou; Serena Y. Yeung; Andrew Y. Ng (CVPR, 2011)

VideoSET: Video Summary Evaluation through Text. - Serena Yeung; Alireza Fathi; Li Fei-Fei 001 (CoRR, 2014)

Vision-Based Hand Hygiene Monitoring in Hospitals. - Serena Yeung; Alexandre Alahi; Albert Haque; Boya Peng; Zelun Luo; Amit Singh; Terry Platchek; Arnold Milstein; Li Fei-Fei 001 (AMIA, 2016)

End-to-End Learning of Action Detection from Frame Glimpses in Videos. - Serena Yeung; Olga Russakovsky; Greg Mori; Li Fei-Fei 001 (CVPR, 2016)

Towards Viewpoint Invariant 3D Human Pose Estimation. - Albert Haque; Boya Peng; Zelun Luo; Alexandre Alahi; Serena Yeung; Li Fei-Fei 001 (ECCV (1), 2016)

Viewpoint Invariant 3D Human Pose Estimation with Recurrent Error Feedback. - Albert Haque; Boya Peng; Zelun Luo; Alexandre Alahi; Serena Yeung; Li Fei-Fei 001 (CoRR, 2016)

ITOP Dataset. - Albert Haque; Boya Peng; Zelun Luo; Alexandre Alahi; Serena Yeung; Li Fei-Fei 001 (Zenodo, 2016)

Jointly Learning Energy Expenditures and Activities Using Egocentric Multimodal Signals. - Katsuyuki Nakamura; Serena Yeung; Alexandre Alahi; Li Fei-Fei 001 (CVPR, 2017)

Learning to Learn from Noisy Web Videos. - Serena Yeung; Vignesh Ramanathan; Olga Russakovsky; Liyue Shen; Greg Mori; Li Fei-Fei 001 (CVPR, 2017)

Towards Vision-Based Smart Hospitals: A System for Tracking and Monitoring Hand Hygiene Compliance. - Albert Haque; Michelle Guo; Alexandre Alahi; Serena Yeung; Zelun Luo; Alisha Rege; Jeffrey Jopling; N. Lance Downing; William Beninati; Amit Singh; Terry Platchek; Arnold Milstein; et al. (MLHC, 2017)

Tackling Over-pruning in Variational Autoencoders. - Serena Yeung; Anitha Kannan; Yann N. Dauphin; Li Fei-Fei 001 (CoRR, 2017)

Neural Graph Matching Networks for Fewshot 3D Action Recognition. - Michelle Guo; Edward Chou; De-An Huang; Shuran Song; Serena Yeung; Li Fei-Fei 001 (ECCV (1), 2018)

Dynamic Task Prioritization for Multitask Learning. - Michelle Guo; Albert Haque; De-An Huang; Serena Yeung; Li Fei-Fei 001 (ECCV (16), 2018)

Temporal Modular Networks for Retrieving Complex Compositional Activities in Videos. - Bingbin Liu; Serena Yeung; Edward Chou; De-An Huang; Li Fei-Fei 001; Juan Carlos Niebles (ECCV (3), 2018)

3D Point Cloud-Based Visual Prediction of ICU Mobility Care Activities. - Bingbin Liu; Michelle Guo; Edward Chou; Rishab Mehra; Serena Yeung; N. Lance Downing; Francesca Salipur; Jeffrey Jopling; Brandi Campbell; Kayla Deru; William Beninati; Arnold Milstein; et al. (MLHC, 2018)

Tool Detection and Operative Skill Assessment in Surgical Videos Using Region-Based Convolutional Neural Networks. - Amy Jin; Serena Yeung; Jeffrey Jopling; Jonathan Krause; Dan Azagury; Arnold Milstein; Li Fei-Fei 001 (WACV, 2018)

Scaling Human-Object Interaction Recognition Through Zero-Shot Learning. - Liyue Shen; Serena Yeung; Judy Hoffman; Greg Mori; Li Fei-Fei 001 (WACV, 2018)

Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference. - Edward Chou; Josh Beal; Daniel Levy; Serena Yeung; Albert Haque; Li Fei-Fei 001 (CoRR, 2018)

Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos. - Serena Yeung; Olga Russakovsky; Ning Jin 002; Mykhaylo Andriluka; Greg Mori; Li Fei-Fei 001 (Int. J. Comput. Vis., 2018)

Adversarial Representation Active Learning. - Ali Mottaghi; Serena Yeung (CoRR, 2019)

A computer vision system for deep learning-based detection of patient mobilization activities in the ICU. - Serena Yeung; Francesca Rinaldo; Jeffrey Jopling; Bingbin Liu; Rishab Mehra; N. Lance Downing; Michelle Guo; Gabriel M. Bianconi; Alexandre Alahi; Julia Lee; Brandi Campbell; Kayla Deru; et al. (npj Digit. Medicine, 2019)

Using Computer Vision to Automate Hand Detection and Tracking of Surgeon Movements in Videos of Open Surgery. - Michael Zhang; Xiaotian Cheng; Daniel Copeland; Arjun D. Desai; Melody Y. Guan; Gabriel A. Brat; Serena Yeung (AMIA, 2020)

Rapidly Personalizing Mobile Health Treatment Policies with Limited Data. - Sabina Tomkins; Peng Liao; Predrag V. Klasnja; Serena Yeung; Susan A. Murphy (CoRR, 2020)

Medical symptom recognition from patient text: An active learning approach for long-tailed multilabel distributions. - Ali Mottaghi; Prathusha K. Sarma; Xavier Amatriain; Serena Yeung; Anitha Kannan (CoRR, 2020)

Learning Hyperbolic Representations for Unsupervised 3D Segmentation. - Joy Hsu; Jeffrey Gu; Gong-Her Wu; Wah Chiu; Serena Yeung (CoRR, 2020)

Automatic detection of hand hygiene using computer vision technology. - Amit Singh; Albert Haque; Alexandre Alahi; Serena Yeung; Michelle Guo; Jill R. Glassman; William Beninati; Terry Platchek; Li Fei-Fei 001; Arnold Milstein (J. Am. Medical Informatics Assoc., 2020)

FlowVOS: Weakly-Supervised Visual Warping for Detail-Preserving and Temporally Consistent Single-Shot Video Object Segmentation. - Julia Gong; F. Christopher Holsinger; Serena Yeung (BMVC, 2021)

DARCNN: Domain Adaptive Region-Based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical Images. - Joy Hsu; Wah Chiu; Serena Yeung (CVPR, 2021)

Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision. - Zhenzhen Weng; Mehmet Giray Ogut; Shai Limonchik; Serena Yeung (CVPR, 2021)

Holistic 3D Human and Scene Mesh Estimation From Single View Images. - Zhenzhen Weng; Serena Yeung (CVPR, 2021)

GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-efficient Medical Image Recognition. - Shih-Cheng Huang; Liyue Shen; Matthew P. Lungren; Serena Yeung (ICCV, 2021)

Personalized Federated Learning with First Order Model Optimization. - Michael Zhang; Karan Sapra; Sanja Fidler; Serena Yeung; José M. Álvarez 004 (ICLR, 2021)

Capturing implicit hierarchical structure in 3D biomedical images with self-supervised hyperbolic representations. - Joy Hsu; Jeffrey Gu; Gong Her Wu; Wah Chiu; Serena Yeung (NeurIPS, 2021)

Achieving Trustworthy Biomedical Data Solutions. - Peter Washington 001; Serena Yeung; Bethany Percha; Nicholas P. Tatonetti; Jan T. Liphardt; Dennis P. Wall (PSB, 2021)

Staying in shape: learning invariant shape representations using contrastive learning. - Jeffrey Gu; Serena Yeung (UAI, 2021)

A real-time spatiotemporal AI model analyzes skill in open surgical videos. - Emmett D. Goodman; Krishna K. Patel; Yilun Zhang; William Locke; Chris J. Kennedy; Rohan Mehrotra; Stephen Ren; Melody Y. Guan; Maren Downing; Hao Wei Chen; Jevin Z. Clark; Gabriel A. Brat; et al. (CoRR, 2021)

Deep learning-enabled medical computer vision. - Andre Esteva; Katherine Chou; Serena Yeung; Nikhil Naik 002; Ali Madani; Ali Mottaghi; Yun Liu 013; Eric J. Topol; Jeff Dean; Richard Socher (npj Digit. Medicine, 2021)

Domain Adaptive 3D Pose Augmentation for In-the-Wild Human Mesh Recovery. - Zhenzhen Weng; Kuan-Chieh Wang; Angjoo Kanazawa; Serena Yeung (3DV, 2022)

Adaptation of Surgical Activity Recognition Models Across Operating Rooms. - Ali Mottaghi; Aidean Sharghi; Serena Yeung; Omid Mohareri (MICCAI (8), 2022)

Adapting Pre-trained Vision Transformers from 2D to 3D through Weight Inflation Improves Medical Image Segmentation. - Yuhui Zhang; Shih-Cheng Huang; Zhengping Zhou; Matthew P. Lungren; Serena Yeung (ML4H@NeurIPS, 2022)

ALGES: Active Learning with Gradient Embeddings for Semantic Segmentation of Laparoscopic Surgical Images. - Josiah Aklilu; Serena Yeung (MLHC, 2022)

Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning. - Weixin Liang; Yuhui Zhang; Yongchan Kwon; Serena Yeung; James Y. Zou (NeurIPS, 2022)

DataPerf: Benchmarks for Data-Centric AI Development. - Mark Mazumder; Colby R. Banbury; Xiaozhe Yao; Bojan Karlas; William Gaviria Rojas; Sudnya Frederick Diamos; Greg Diamos; Lynn He; Douwe Kiela; David Jurado; David Kanter; Rafael Mosquera; et al. (CoRR, 2022)

Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials. - Andre Esteva; Jean Feng; Douwe van der Wal; Shih-Cheng Huang; Jeffry P. Simko; Sandy Devries; Emmalyn Chen; Edward M. Schaeffer; Todd M. Morgan; Yilun Sun; Amirata Ghorbani; Nikhil Naik 002; et al. (npj Digit. Medicine, 2022)

Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models. - Yuhui Zhang; Michihiro Yasunaga; Zhengping Zhou; Jeff Z. HaoChen; James Zou 001; Percy Liang; Serena Yeung (ACL (Findings), 2023)

NeMo: 3D Neural Motion Fields from Multiple Video Instances of the Same Action. - Kuan-Chieh Wang; Zhenzhen Weng; Maria Xenochristou; João Pedro Araújo; Jeffrey Gu; C. Karen Liu; Serena Yeung (CVPR, 2023)

PROB: Probabilistic Objectness for Open World Object Detection. - Orr Zohar; Kuan-Chieh Wang; Serena Yeung (CVPR, 2023)

Generalizable Neural Fields as Partially Observed Neural Processes. - Jeffrey Gu; Kuan-Chieh Wang; Serena Yeung (ICCV, 2023)

Diagnosing and Rectifying Vision Models using Language. - Yuhui Zhang; Jeff Z. HaoChen; Shih-Cheng Huang; Kuan-Chieh Wang; James Zou 001; Serena Yeung (ICLR, 2023)

Video pretraining advances 3D deep learning on chest CT tasks. - Alexander Ke; Shih-Cheng Huang; Chloe O'Connell; Michal Klimont; Serena Yeung; Pranav Rajpurkar (MIDL, 2023)

Robust Semi-supervised Detection of Hands in Diverse Open Surgery Environments. - Pranav Vaid; Serena Yeung; Anita Rau (MLHC, 2023)

INSPECT: A Multimodal Dataset for Patient Outcome Prediction of Pulmonary Embolisms. - Shih-Cheng Huang; Zepeng Huo; Ethan Steinberg; Chia-Chun Chiang; Curtis P. Langlotz; Matthew P. Lungren; Serena Yeung; Nigam Shah; Jason Alan Fries (NeurIPS, 2023)

DataPerf: Benchmarks for Data-Centric AI Development. - Mark Mazumder; Colby R. Banbury; Xiaozhe Yao; Bojan Karlas; William Gaviria Rojas; Sudnya Frederick Diamos; Greg Diamos; Lynn He; Alicia Parrish; Hannah Rose Kirk; Jessica Quaye; Charvi Rastogi; et al. (NeurIPS, 2023)

LOVM: Language-Only Vision Model Selection. - Orr Zohar; Shih-Cheng Huang; Kuan-Chieh Wang; Serena Yeung (NeurIPS, 2023)

Diffusion-HPC: Generating Synthetic Images with Realistic Humans. - Zhenzhen Weng; Laura Bravo Sánchez; Serena Yeung (CoRR, 2023)

ZeroAvatar: Zero-shot 3D Avatar Generation from a Single Image. - Zhenzhen Weng; Zeyu Wang; Serena Yeung (CoRR, 2023)

Viewpoint Textual Inversion: Unleashing Novel View Synthesis with Pretrained 2D Diffusion Models. - James Burgess; Kuan-Chieh Wang; Serena Yeung (CoRR, 2023)

INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and Prognosis. - Shih-Cheng Huang; Zepeng Huo; Ethan Steinberg; Chia-Chun Chiang; Matthew P. Lungren; Curtis P. Langlotz; Serena Yeung; Nigam H. Shah; Jason A. Fries (CoRR, 2023)

Open World Object Detection in the Era of Foundation Models. - Orr Zohar; Alejandro Lozano; Shelly Goel; Serena Yeung; Kuan-Chieh Wang (CoRR, 2023)

Author Correction: Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials. - Andre Esteva; Jean Feng; Douwe van der Wal; Shih-Cheng Huang; Jeffry P. Simko; Sandy Devries; Emmalyn Chen; Edward M. Schaeffer; Todd M. Morgan; Yilun Sun; Amirata Ghorbani; Nikhil Naik 002; et al. (npj Digit. Medicine, 2023)

Self-supervised learning for medical image classification: a systematic review and implementation guidelines. - Shih-Cheng Huang; Anuj Pareek; Malte E. K. Jensen; Matthew P. Lungren; Serena Yeung; Akshay S. Chaudhari (npj Digit. Medicine, 2023)

Diffusion-HPC: Synthetic Data Generation for Human Mesh Recovery in Challenging Domains. - Zhenzhen Weng; Laura Bravo Sánchez; Serena Yeung-Levy (3DV, 2024)

Describing Differences in Image Sets with Natural Language. - Lisa Dunlap; Yuhui Zhang; Xiaohan Wang; Ruiqi Zhong; Trevor Darrell; Jacob Steinhardt; Joseph E. Gonzalez; Serena Yeung-Levy (CVPR, 2024)

Viewpoint Textual Inversion: Discovering Scene Representations and 3D View Control in 2D Diffusion Models. - James Burgess; Kuan-Chieh Wang; Serena Yeung-Levy (ECCV (64), 2024)

Depth-Guided NeRF Training via Earth Mover's Distance. - Anita Rau; Josiah Aklilu; F. Christopher Holsinger; Serena Yeung-Levy (ECCV (64), 2024)

VideoAgent: Long-Form Video Understanding with Large Language Model as Agent. - Xiaohan Wang; Yuhui Zhang; Orr Zohar; Serena Yeung-Levy (ECCV (80), 2024)

Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data. - Yuhui Zhang; Elaine Sui; Serena Yeung (ICLR, 2024)

Micro-Bench: A Microscopy Benchmark for Vision-Language Understanding. - Alejandro Lozano; Jeffrey J. Nirschl; James Burgess; Sanket Rajan Gupte; Yuhui Zhang; Alyssa Unell; Serena Yeung (NeurIPS, 2024)

Why are Visually-Grounded Language Models Bad at Image Classification? - Yuhui Zhang; Alyssa Unell; Xiaohan Wang; Dhruba Ghosh; Yuchang Su; Ludwig Schmidt; Serena Yeung (NeurIPS, 2024)

Single-View 3D Human Digitalization with Large Reconstruction Models. - Zhenzhen Weng; Jingyuan Liu; Hao Tan 002; Zhan Xu; Yang Zhou; Serena Yeung-Levy; Jimei Yang (CoRR, 2024)

AdaEmbed: Semi-supervised Domain Adaptation in the Embedding Space. - Ali Mottaghi; Muhammad Abdullah Jamal; Serena Yeung; Omid Mohareri (CoRR, 2024)

Multi-Human Mesh Recovery with Transformers. - Zeyu Wang; Zhenzhen Weng; Serena Yeung-Levy (CoRR, 2024)

Training Small Multimodal Models to Bridge Biomedical Competency Gap: A Case Study in Radiology Imaging. - Juan Manuel Zambrano Chaves; Shih-Cheng Huang; Yanbo Xu; Hanwen Xu; Naoto Usuyama; Sheng Zhang 012; Fei Wang 060; Yujia Xie; Mahmoud Khademi; Ziyi Yang; Hany Hassan Awadalla; Julia Gong; et al. (CoRR, 2024)

μ-Bench: A Vision-Language Benchmark for Microscopy Understanding. - Alejandro Lozano; Jeffrey J. Nirschl; James Burgess; Sanket Rajan Gupte; Yuhui Zhang; Alyssa Unell; Serena Yeung-Levy (CoRR, 2024)

Continuous Perception Benchmark. - Zeyu Wang; Zhenzhen Weng; Serena Yeung-Levy (CoRR, 2024)

How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities. - Charlotte Bunne; Yusuf H. Roohani; Yanay Rosen; Ankit Gupta; Xikun Zhang 001; Marcel Roed; Theo Alexandrov; Mohammed AlQuraishi; Patricia Brennan; Daniel B. Burkhardt; Andrea Califano; Jonah Cool; et al. (CoRR, 2024)

Ask, Pose, Unite: Scaling Data Acquisition for Close Interactions with Vision Language Models. - Laura Bravo Sánchez; Jaewoo Heo; Zhenzhen Weng; Kuan-Chieh Wang; Serena Yeung-Levy (CoRR, 2024)

Zero-shot Action Localization via the Confidence of Large Vision-Language Models. - Josiah Aklilu; Xiaohan Wang; Serena Yeung-Levy (CoRR, 2024)

Motion Diffusion-Guided 3D Global HMR from a Dynamic Camera. - Jaewoo Heo; Kuan-Chieh Wang; C. Karen Liu; Serena Yeung-Levy (CoRR, 2024)

Feather the Throttle: Revisiting Visual Token Pruning for Vision-Language Model Acceleration. - Mark Endo; Xiaohan Wang; Serena Yeung-Levy (CoRR, 2024)

Hospitalization prediction from the emergency department using computer vision AI with short patient video clips. - Wui Ip; Maria Xenochristou; Elaine Sui; Elyse Ruan; Ryan Ribeira; Debadutta Dash; Malathi Srinivasan; Maja Artandi; Jesutofunmi A. Omiye; Nicholas Scoulios; Hayden L. Hofmann; Ali Mottaghi; et al. (npj Digit. Medicine, 2024)

Revisiting Active Learning in the Era of Vision Foundation Models. - Sanket Rajan Gupte; Josiah Aklilu; Jeffrey J. Nirschl; Serena Yeung-Levy (Trans. Mach. Learn. Res., 2024)

Hyperbolic Deep Learning in Computer Vision: A Survey. - Pascal Mettes; Mina Ghadimi Atigh; Martin Keller-Ressel; Jeffrey Gu; Serena Yeung (Int. J. Comput. Vis., 2024)

DeforHMR: Vision Transformer with Deformable Cross-Attention for 3D Human Mesh Recovery. - Jaewoo Heo; George Hu; Zeyu Wang; Serena Yeung-Levy (3DV, 2025)

NeuHMR: Neural Rendering-Guided Human Motion Reconstruction. - Tiange Xiang; Kuan-Chieh Wang; Jaewoo Heo; Ehsan Adeli 001; Serena Yeung; Scott L. Delp; Li Fei-Fei 001 (3DV, 2025)

NegVQA: Can Vision Language Models Understand Negation? - Yuhui Zhang; Yuchang Su; Yiming Liu; Serena Yeung-Levy (ACL (Findings), 2025)

MicroVQA: A Multimodal Reasoning Benchmark for Microscopy-Based Scientific Research. - James Burgess; Jeffrey J. Nirschl; Laura Bravo-Sánchez; Alejandro Lozano; Sanket Rajan Gupte; Jesus G. Galaz-Montoya; Yuhui Zhang; Yuchang Su; Disha Bhowmik; Zachary Coman; Sarina M. Hasan; Alexandra Johannesson; et al. (CVPR, 2025)

BIOMEDICA: An Open Biomedical Image-Caption Archive, Dataset, and Vision-Language Models Derived from Scientific Literature. - Alejandro Lozano; Min Woo Sun; James Burgess; Liangyu Chen 005; Jeffrey J. Nirschl; Jeffrey Gu; Ivan Lopez; Josiah Aklilu; Anita Rau; Austin Wolfgang Katzer; Yuhui Zhang; Collin Chiu; et al. (CVPR, 2025)

Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model Evaluation. - Yuhui Zhang; Yuchang Su; Yiming Liu; Xiaohan Wang; James Burgess; Elaine Sui; Chenyu Wang 003; Josiah Aklilu; Alejandro Lozano; Anjiang Wei; Ludwig Schmidt; Serena Yeung-Levy (CVPR, 2025)

Apollo: An Exploration of Video Understanding in Large Multimodal Models. - Orr Zohar; Xiaohan Wang; Yann Dubois; Nikhil Mehta 002; Tong Xiao; Philippe Hansen-Estruch; Licheng Yu; Xiaofang Wang; Felix Juefei-Xu; Ning Zhang; Serena Yeung-Levy; Xide Xia (CVPR, 2025)

Video Action Differencing. - James Burgess; Xiaohan Wang; Yuhui Zhang; Anita Rau; Alejandro Lozano; Lisa Dunlap; Trevor Darrell; Serena Yeung-Levy (ICLR, 2025)

Foundation Models Secretly Understand Neural Network Weights: Enhancing Hypernetwork Architectures with Foundation Models. - Jeffrey Gu; Serena Yeung-Levy (ICLR, 2025)

Video-STaR: Self-Training Enables Video Instruction Tuning with Any Supervision. - Orr Zohar; Xiaohan Wang; Yonatan Bitton; Idan Szpektor; Serena Yeung-Levy (ICLR, 2025)

Just Shift It: Test-Time Prototype Shifting for Zero-Shot Generalization with Vision-Language Models. - Elaine Sui; Xiaohan Wang; Serena Yeung-Levy (WACV, 2025)

Temporal Preference Optimization for Long-Form Video Understanding. - Rui Li; Xiaohan Wang; Yuhui Zhang; Zeyu Wang; Serena Yeung-Levy (CoRR, 2025)

CellFlow: Simulating Cellular Morphology Changes via Flow Matching. - Yuhui Zhang; Yuchang Su; Chenyu Wang 003; Tianhong Li; Zoe Wefers; Jeffrey J. Nirschl; James Burgess; Daisy Ding; Alejandro Lozano; Emma Lundberg; Serena Yeung-Levy (CoRR, 2025)

SurgiSAM2: Fine-tuning a foundational model for surgical video anatomy segmentation and detection. - Devanish N. Kamtam; Joseph B. Shrager; Satya Deepya Malla; Xiaohan Wang; Nicole Lin; Juan J. Cardona; Serena Yeung-Levy; Clarence Hu (CoRR, 2025)

A Large-Scale Vision-Language Dataset Derived from Open Scientific Literature to Advance Biomedical Generalist AI. - Alejandro Lozano; Min Woo Sun; James Burgess; Jeffrey J. Nirschl; Christopher Polzak; Yuhui Zhang; Liangyu Chen 005; Jeffrey Gu; Ivan Lopez; Josiah Aklilu; Anita Rau; Austin Wolfgang Katzer; et al. (CoRR, 2025)

Systematic Evaluation of Large Vision-Language Models for Surgical Artificial Intelligence. - Anita Rau; Mark Endo; Josiah Aklilu; Jaewoo Heo; Khaled Saab 003; Alberto Paderno; Jeffrey Jopling; F. Christopher Holsinger; Serena Yeung-Levy (CoRR, 2025)

Can Large Language Models Match the Conclusions of Systematic Reviews? - Christopher Polzak; Alejandro Lozano; Min Woo Sun; James Burgess; Yuhui Zhang; Kevin Wu; Serena Yeung-Levy (CoRR, 2025)

Closing the Modality Gap for Mixed Modality Search. - Binxu Li; Yuhui Zhang; Xiaohan Wang; Weixin Liang; Ludwig Schmidt; Serena Yeung-Levy (CoRR, 2025)