Zobrazeno 1 - 10
of 549
pro vyhledávání: '"Dang, Long"'
Transparency in AI healthcare decision-making is crucial for building trust among AI and users. Incorporating reasoning capabilities enables Large Language Models (LLMs) to understand emotions in context, handle nuanced language, and infer unstated s
Externí odkaz:
http://arxiv.org/abs/2407.21054
Autor:
Dang, Long Hoang, Nguyen, Duy-Hung, Le, Thai Quang, Nguyen, Thinh Truong, Mei, Clark, Hoang, Vu
This paper presents a novel system, named AHMsys, designed to automate the process of generating 3D Heating, Ventilation, and Air Conditioning (HVAC) models from 2D Computer-Aided Design (CAD) drawings, a key component of Building Information Modelin
Externí odkaz:
http://arxiv.org/abs/2407.01987
Large vision-language models (LVLMs) offer a novel capability for performing in-context learning (ICL) in Visual QA. When prompted with a few demonstrations of image-question-answer triplets, LVLMs have demonstrated the ability to discern underlying
Externí odkaz:
http://arxiv.org/abs/2407.01983
In doctor-patient conversations, identifying medically relevant information is crucial, posing the need for conversation summarization. In this work, we propose the first deployable real-time speech summarization system for real-world applications in
Externí odkaz:
http://arxiv.org/abs/2406.15888
Autor:
Le-Duc, Khai, Thulke, David, Tran, Hung-Phong, Vo-Dang, Long, Nguyen, Khai-Nguyen, Hy, Truong-Son, Schlüter, Ralf
Spoken Named Entity Recognition (NER) aims to extracting named entities from speech and categorizing them into types like person, location, organization, etc. In this work, we present VietMed-NER - the first spoken NER dataset in the medical domain.
Externí odkaz:
http://arxiv.org/abs/2406.13337
As Machine Learning (ML) is increasingly used in solving various tasks in real-world applications, it is crucial to ensure that ML algorithms are robust to any potential worst-case noises, adversarial attacks, and highly unusual situations when they
Externí odkaz:
http://arxiv.org/abs/2309.12593
Autor:
Donald L. J. Quicke, A. P. Ranjith, Marisa K. Loncle, Cornelis Van Achterberg, Khuat Dang Long, Buntika A. Butcher
Publikováno v:
ZooKeys, Vol 1206, Iss , Pp 99-136 (2024)
The genus Troporhogas Cameron, 1905 from the Indo-Malayan region is reviewed. Six new species, Troporhogas alboniger Quicke, Loncle & Butcher, sp. nov., T. benjamini Quicke, Loncle & Butcher, sp. nov., T. hugoolseni Quicke, Loncle & Butcher, sp. nov.
Externí odkaz:
https://doaj.org/article/de8b4a6b25154d94b632f70884a1df64
Autor:
Thi Nhi Pham, Khuat Dang Long, Cornelis van Achterberg, Thi Quynh Nga Cao, Van Phu Pham, Thi Hoa Dang
Publikováno v:
ZooKeys, Vol 1197, Iss , Pp 13-41 (2024)
This paper contains descriptions and illustrations of five new species of the genus Aulacocentrum Brues, 1922, from Vietnam, viz. Aulacocentrum assitum Long & Pham, sp. nov.; A. glabrum Long, sp. nov.; A. imparum Long & van Achterberg, sp. nov.; A. i
Externí odkaz:
https://doaj.org/article/9cdb97ee16b047ecb6114ed418b23e63
Many state-of-the-art ML models have outperformed humans in various tasks such as image classification. With such outstanding performance, ML models are widely used today. However, the existence of adversarial attacks and data poisoning attacks reall
Externí odkaz:
http://arxiv.org/abs/2112.02797
Video Question Answering (Video QA) is a powerful testbed to develop new AI capabilities. This task necessitates learning to reason about objects, relations, and events across visual and linguistic domains in space-time. High-level reasoning demands
Externí odkaz:
http://arxiv.org/abs/2106.13432