Zobrazeno 1 - 10
of 300
pro vyhledávání: '"Nguyen, Chien"'
Retrieval-augmented generation (RAG) has emerged as a promising approach to enhance the performance of large language models (LLMs) in knowledge-intensive tasks such as those from medical domain. However, the sensitive nature of the medical domain ne
Externí odkaz:
http://arxiv.org/abs/2411.09213
Autor:
Van Nguyen, Chien, Shen, Xuan, Aponte, Ryan, Xia, Yu, Basu, Samyadeep, Hu, Zhengmian, Chen, Jian, Parmar, Mihir, Kunapuli, Sasidhar, Barrow, Joe, Wu, Junda, Singh, Ashish, Wang, Yu, Gu, Jiuxiang, Dernoncourt, Franck, Ahmed, Nesreen K., Lipka, Nedim, Zhang, Ruiyi, Chen, Xiang, Yu, Tong, Kim, Sungchul, Deilamsalehy, Hanieh, Park, Namyong, Rimer, Mike, Zhang, Zhehao, Yang, Huanrui, Rossi, Ryan A., Nguyen, Thien Huu
Small Language Models (SLMs) have become increasingly important due to their efficiency and performance to perform various language tasks with minimal computational resources, making them ideal for various settings including on-device, mobile, edge d
Externí odkaz:
http://arxiv.org/abs/2410.20011
Autor:
Van Nguyen, Chien, Nguyen, Huy Huu, Pham, Thang M., Zhang, Ruiyi, Deilamsalehy, Hanieh, Mathur, Puneet, Rossi, Ryan A., Bui, Trung, Lai, Viet Dac, Dernoncourt, Franck, Nguyen, Thien Huu
Efficient long-context language modeling remains a significant challenge in Natural Language Processing (NLP). While Transformers dominate language tasks, they struggle with long sequences due to quadratic computational complexity in training and lin
Externí odkaz:
http://arxiv.org/abs/2410.18572
Autor:
Kumar, Ishita, Viswanathan, Snigdha, Yerra, Sushrita, Salemi, Alireza, Rossi, Ryan A., Dernoncourt, Franck, Deilamsalehy, Hanieh, Chen, Xiang, Zhang, Ruiyi, Agarwal, Shubham, Lipka, Nedim, Van Nguyen, Chien, Nguyen, Thien Huu, Zamani, Hamed
Long-text generation is seemingly ubiquitous in real-world applications of large language models such as generating an email or writing a review. Despite the fundamental importance and prevalence of long-text generation in many practical applications
Externí odkaz:
http://arxiv.org/abs/2407.11016
Autor:
Nguyen, Thuat, Van Nguyen, Chien, Lai, Viet Dac, Man, Hieu, Ngo, Nghia Trung, Dernoncourt, Franck, Rossi, Ryan A., Nguyen, Thien Huu
The driving factors behind the development of large language models (LLMs) with impressive learning capabilities are their colossal model sizes and extensive training datasets. Along with the progress in natural language processing, LLMs have been fr
Externí odkaz:
http://arxiv.org/abs/2309.09400
Autor:
Lai, Viet Dac, Van Nguyen, Chien, Ngo, Nghia Trung, Nguyen, Thuat, Dernoncourt, Franck, Rossi, Ryan A., Nguyen, Thien Huu
A key technology for the development of large language models (LLMs) involves instruction tuning that helps align the models' responses with human expectations to realize impressive learning abilities. Two major approaches for instruction tuning char
Externí odkaz:
http://arxiv.org/abs/2307.16039
Publikováno v:
Tạp chí Khoa học, Vol 53, Iss Special Issue 1, Pp 117-126 (2024)
This article evaluates the current state of awareness of students majoring in Informatics Pedagogy at some Pedagogical Universities about STEM education to detect the characteristics, cognitive levels and influencing factors. The research team condu
Externí odkaz:
https://doaj.org/article/76a5e0a1e8ab48fbaacc01eea4ce9572
Autor:
Nguyen, Chien-Van1 (AUTHOR) chiennv@tdmu.edu.vn
Publikováno v:
Economies. Sep2024, Vol. 12 Issue 9, p236. 18p.
Autor:
Van Nguyen, Chien1 (AUTHOR) chiennv@tdmu.edu.vn
Publikováno v:
International Journal of Financial Studies. Jun2024, Vol. 12 Issue 2, p37. 13p.
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