Zobrazeno 1 - 10
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pro vyhledávání: '"Pham, Quang"'
Autor:
Manh, Dung Nguyen, Chau, Thang Phan, Hai, Nam Le, Doan, Thong T., Nguyen, Nam V., Pham, Quang, Bui, Nghi D. Q.
Recent advancements in Code Large Language Models (CodeLLMs) have predominantly focused on open-ended code generation tasks, often neglecting the critical aspect of code understanding and comprehension. To bridge this gap, we present CodeMMLU, a comp
Externí odkaz:
http://arxiv.org/abs/2410.01999
Autor:
Shan, Shilin, Pham, Quang-Cuong
Force and torque sensing is crucial in robotic manipulation across both collaborative and industrial settings. Traditional methods for dynamics identification enable the detection and control of external forces and torques without the need for costly
Externí odkaz:
http://arxiv.org/abs/2409.03369
Scene graphs have been proven to be useful for various scene understanding tasks due to their compact and explicit nature. However, existing approaches often neglect the importance of maintaining the symmetry-preserving property when generating scene
Externí odkaz:
http://arxiv.org/abs/2407.00609
In recent years, Large Language Models (LLMs) have become integrated into our daily lives, serving as invaluable assistants in completing tasks. Widely embraced by users, the abuse of LLMs is inevitable, particularly in using them to generate text co
Externí odkaz:
http://arxiv.org/abs/2405.03206
Autor:
Lim, Joyce Xin-Yan, Pham, Quang-Cuong
The rise in additive manufacturing comes with unique opportunities and challenges. Massive part customization and rapid design changes are made possible with additive manufacturing, however, manufacturing industries that desire the implementation of
Externí odkaz:
http://arxiv.org/abs/2403.19102
Autor:
Qiao, Zhongzheng, Pham, Quang, Cao, Zhen, Le, Hoang H, Suganthan, P. N., Jiang, Xudong, Savitha, Ramasamy
Real-world environments are inherently non-stationary, frequently introducing new classes over time. This is especially common in time series classification, such as the emergence of new disease classification in healthcare or the addition of new act
Externí odkaz:
http://arxiv.org/abs/2402.12035
Autor:
Pham, Quang, Do, Giang, Nguyen, Huy, Nguyen, TrungTin, Liu, Chenghao, Sartipi, Mina, Nguyen, Binh T., Ramasamy, Savitha, Li, Xiaoli, Hoi, Steven, Ho, Nhat
Sparse mixture of experts (SMoE) offers an appealing solution to scale up the model complexity beyond the mean of increasing the network's depth or width. However, effective training of SMoE has proven to be challenging due to the representation coll
Externí odkaz:
http://arxiv.org/abs/2402.02526
Autor:
Lim, Joyce Xin-Yan, Pham, Quang-Cuong
The rise in additive manufacturing comes with unique opportunities and challenges. Rapid changes to part design and massive part customization distinctive to 3D-Print (3DP) can be easily achieved. Customized parts that are unique, yet exhibit similar
Externí odkaz:
http://arxiv.org/abs/2312.17650
Autor:
Do, Giang, Le, Khiem, Pham, Quang, Nguyen, TrungTin, Doan, Thanh-Nam, Nguyen, Bint T., Liu, Chenghao, Ramasamy, Savitha, Li, Xiaoli, Hoi, Steven
By routing input tokens to only a few split experts, Sparse Mixture-of-Experts has enabled efficient training of large language models. Recent findings suggest that fixing the routers can achieve competitive performance by alleviating the collapsing
Externí odkaz:
http://arxiv.org/abs/2312.07035
Autor:
Nguyen, Duy Minh Ho, Pham, Tan Ngoc, Diep, Nghiem Tuong, Phan, Nghi Quoc, Pham, Quang, Tong, Vinh, Nguyen, Binh T., Le, Ngan Hoang, Ho, Nhat, Xie, Pengtao, Sonntag, Daniel, Niepert, Mathias
Constructing a robust model that can effectively generalize to test samples under distribution shifts remains a significant challenge in the field of medical imaging. The foundational models for vision and language, pre-trained on extensive sets of n
Externí odkaz:
http://arxiv.org/abs/2311.11096