Zobrazeno 1 - 10
of 28 404
pro vyhledávání: '"Duc, P"'
Large Language Models (LLMs) have recently advanced many applications on software engineering tasks, particularly the potential for code generation. Among contemporary challenges, code generated by LLMs often suffers from inaccuracies and hallucinati
Externí odkaz:
http://arxiv.org/abs/2408.15658
Autor:
Pham, Duc-Hai, Nguyen, Duc Dung, Pham, Hoang-Anh, Tuan, Ho Lai, Nguyen, Phong Ha, Nguyen, Khoi, Nguyen, Rang
Accurate prediction of 3D semantic occupancy from 2D visual images is vital in enabling autonomous agents to comprehend their surroundings for planning and navigation. State-of-the-art methods typically employ fully supervised approaches, necessitati
Externí odkaz:
http://arxiv.org/abs/2408.11559
In this paper, we propose a new framework called YOWOv3, which is an improved version of YOWOv2, designed specifically for the task of Human Action Detection and Recognition. This framework is designed to facilitate extensive experimentation with dif
Externí odkaz:
http://arxiv.org/abs/2408.02623
Autor:
Guerra, Lorenzo, Xu, Linhan, Bellavista, Paolo, Chapuis, Thomas, Duc, Guillaume, Mozharovskyi, Pavlo, Nguyen, Van-Tam
The integration of digital devices in modern vehicles has revolutionized automotive technology, enhancing safety and the overall driving experience. The Controller Area Network (CAN) bus is a central system for managing in-vehicle communication betwe
Externí odkaz:
http://arxiv.org/abs/2408.17235
Mapping and characterizing magnetic fields in the Rho Ophiuchus-A molecular cloud with SOFIA/HAWC$+$
Autor:
Lê, Ngân, Tram, Le Ngoc, Karska, Agata, Hoang, Thiem, Diep, Pham Ngoc, Hanasz, Michał, Ngoc, Nguyen Bich, Phuong, Nguyen Thi, Menten, Karl M., Wyrowski, Friedrich, Nguyen, Dieu D., Hoang, Thuong Duc, Khang, Nguyen Minh
(abridged) Together with gravity, turbulence, and stellar feedback, magnetic fields (B-fields) are thought to play a critical role in the evolution of molecular clouds and star formation processes. We aim to map the morphology and measure the strengt
Externí odkaz:
http://arxiv.org/abs/2408.17122
With Artificial Intelligence (AI) becoming a powerful tool for education (Zawacki-Richter et al., 2019), this chapter describes the concept of combining generative and traditional AI, citizen-science physiological, neuroergonomic wearables and enviro
Externí odkaz:
http://arxiv.org/abs/2408.15906
In this paper, we aim to enhance the performance of SwiftBrush, a prominent one-step text-to-image diffusion model, to be competitive with its multi-step Stable Diffusion counterpart. Initially, we explore the quality-diversity trade-off between Swif
Externí odkaz:
http://arxiv.org/abs/2408.14176
Multimodal Emotion Recognition in Conversations (ERC) is a typical multimodal learning task in exploiting various data modalities concurrently. Prior studies on effective multimodal ERC encounter challenges in addressing modality imbalances and optim
Externí odkaz:
http://arxiv.org/abs/2408.12895
Large language models (LLMs) have shown promise in representing individuals and communities, offering new ways to study complex social dynamics. However, effectively aligning LLMs with specific human groups and systematically assessing the fidelity o
Externí odkaz:
http://arxiv.org/abs/2408.09366
Autor:
Nguyen, Huy-Son, Bui, Tuan-Nghia, Nguyen, Long-Hai, Manh-Hung, Hoang, Nguyen, Cam-Van Thi, Le, Hoang-Quynh, Le, Duc-Trong
Bundle recommendation aims to enhance business profitability and user convenience by suggesting a set of interconnected items. In real-world scenarios, leveraging the impact of asymmetric item affiliations is crucial for effective bundle modeling and
Externí odkaz:
http://arxiv.org/abs/2408.08906