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Epistemic Integrity in Large Language Models

Autor: Ghafouri, Bijean, Mohammadzadeh, Shahrad, Zhou, James, Nair, Pratheeksha, Tian, Jacob-Junqi, Goel, Mayank, Rabbany, Reihaneh, Godbout, Jean-François, Pelrine, Kellin

Large language models are increasingly relied upon as sources of information, but their propensity for generating false or misleading statements with high confidence poses risks for users and society. In this paper, we confront the critical problem o

Externí odkaz: http://arxiv.org/abs/2411.06528

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LoGra-Med: Long Context Multi-Graph Alignment for Medical Vision-Language Model

Autor: Nguyen, Duy M. H., Diep, Nghiem T., Nguyen, Trung Q., Le, Hoang-Bao, Nguyen, Tai, Nguyen, Tien, Nguyen, TrungTin, Ho, Nhat, Xie, Pengtao, Wattenhofer, Roger, Zhou, James, Sonntag, Daniel, Niepert, Mathias

State-of-the-art medical multi-modal large language models (med-MLLM), like LLaVA-Med or BioMedGPT, leverage instruction-following data in pre-training. However, those models primarily focus on scaling the model size and data volume to boost performa

Externí odkaz: http://arxiv.org/abs/2410.02615

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Characterization of Conventional Endovascular Devices in Treatment of Abdominal Aortic Aneurysms

Autor: Alawneh, Yara, Zhou, James J., Sewani, Alykhan, Dueck, Andrew, Tavallaei, M. Ali

Abdominal Aortic Aneurysms (AAA) are often repaired through an Endovascular approach known as EVAR. The success and duration of these challenging procedures are primarily attributable to the accuracy and reliability of navigating corresponding interv

Externí odkaz: http://arxiv.org/abs/2406.19245

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SideEye: A Side-Looking Catheter for Fenestrated Endovascular Aneurysm Repair Procedures

Autor: Alawneh, Yara, Sewani, Alykhan, Zhou, James J., Dueck, Andrew, Tavallaei, M. Ali

Fenestrated endovascular aneurysm repair remains a technically challenging procedure in the presence of complex anatomy, as it increases the difficulty of target vessel cannulation and prolongs procedure time and fluoroscopy radiation exposure. This

Externí odkaz: http://arxiv.org/abs/2406.18029

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Composition method for chromatic symmetric functions: Neat noncommutative analogs

Autor: Wang, David G. L., Zhou, James Z. F.

This work is inspired by Shareshian and Wachs's exquisite formula for the chromatic symmetric function of paths. We develop a composition method to unearth neat noncommutative analogs of chromatic symmetric functions. A symmetric function is $e$-posi

Externí odkaz: http://arxiv.org/abs/2401.01027

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