Ax Geert Trooskens (XY.AI Labs, Palo Alto, CA), Aaron Karlsberg (XY.AI Labs, Palo Alto, CA), Anmol Sharma (XY.AI Labs, Palo Alto, CA), Lamara De Brouwer (XY.AI Labs, Palo Alto, CA), Max Van Puyvelde (Stanford University School of Medicine, Stanford, CA), Matthew Young (XY.AI Labs, Palo Alto, CA), John Thickstun (Cornell University, Ithaca, NY), Gil Alterovitz (Brigham and Women's Hospital / Harvard Medical School, Boston, MA), Walter A. De Brouwer (Stanford University School of Medicine, Stanford, CA) 25d ago

Compiled AI: Deterministic Code Generation for LLM-Based Workflow Automation

Compiled AI: Paradigm where LLMs generate executable code during compilation for deterministic, model-free workflow automation execution.

Ax Junyu Guo, Shangding Gu, Ming Jin, Costas Spanos, Javad Lavaei 25d ago

LLMs Should Express Uncertainty Explicitly

Study on training LLMs to express uncertainty explicitly as control interface for abstention and verification tasks.

Ax Vishaal Kapoor, Mariam Dundua, Sarthak Ahuja, Neda Kordjazi, Evren Yortucboylu, Vaibhavi Padala, Derek Ho, Jennifer Whitted, Rebecca Steinert 25d ago

DQA: Diagnostic Question Answering for IT Support

Diagnostic RAG system for IT support with explicit diagnostic state tracking across turns to accumulate evidence and resolve hypotheses.

Ax Peixi Peng (Institute of Medical Robotics, School of Biomedical Engineering, Shanghai Jiao Tong University), Housheng Xie (Institute of Medical Robotics, School of Biomedical Engineering, Shanghai Jiao Tong University), Yanling Wei (Daping Hospital, Army Medical University), Guangcong Ruan (Daping Hospital, Army Medical University), Xiaoyang Zou (Institute of Medical Robotics, School of Biomedical Engineering, Shanghai Jiao Tong University), Qian Cao (Sir Run Run Shaw Hospital, Zhejiang University School of Medicine), Yongjian Nian (Daping Hospital, Army Medical University), Guoyan Zheng (Institute of Medical Robotics, School of Biomedical Engineering, Shanghai Jiao Tong University) 25d ago

Analogical Reasoning as a Doctor: A Foundation Model for Gastrointestinal Endoscopy Diagnosis

Foundation model for gastrointestinal endoscopy diagnosis using analogical reasoning to improve generalizability and robustness.