Zobrazeno 1 - 10
of 9 823
pro vyhledávání: '"Seunghyun An"'
Publikováno v:
Asian Journal of Shipping and Logistics, Vol 39, Iss 2, Pp 78-93 (2023)
As smart and environmentally friendly technologies and equipment are introduced in the sea port industry, electric power consumption is expected to rapidly increase. However, there is a paucity of research on the creation of electric power management
Externí odkaz:
https://doaj.org/article/9b02ef20bd0a40deba80319b829f31a2
Autor:
Sun, Seungjong, Lee, Eungu, Baek, Seo Yeon, Hwang, Seunghyun, Lee, Wonbyung, Nan, Dongyan, Jansen, Bernard J., Kim, Jang Hyun
This study is the first to explore whether multi-modal large language models (LLMs) can align their behaviors with visual personas, addressing a significant gap in the literature that predominantly focuses on text-based personas. We developed a novel
Externí odkaz:
http://arxiv.org/abs/2410.03181
Autor:
Muduli, Manisha, Gajaowski, Nathan, Jung, Hyemin, Nooman, Neha, Bhardwaj, Bhupesh, Schwartz, Mariah, Lee, Seunghyun, Krishna, Sanjay
Avalanche photodiodes used for greenhouse gas sensing often use a mesa-structure that suffers from high surface leakage currents and edge breakdown. In this paper, we report 2-micron InGaAs/GaAsSb superlattice (SL) based planar PIN diodes to eliminat
Externí odkaz:
http://arxiv.org/abs/2409.20406
Autor:
Nahrendra, I Made Aswin, Yu, Byeongho, Oh, Minho, Lee, Dongkyu, Lee, Seunghyun, Lee, Hyeonwoo, Lim, Hyungtae, Myung, Hyun
Quadrupedal robots hold promising potential for applications in navigating cluttered environments with resilience akin to their animal counterparts. However, their floating base configuration makes them vulnerable to real-world uncertainties, yieldin
Externí odkaz:
http://arxiv.org/abs/2409.19709
Bayesian Neural Networks(BNNs) with high-dimensional parameters pose a challenge for posterior inference due to the multi-modality of the posterior distributions. Stochastic Gradient MCMC(SGMCMC) with cyclical learning rate scheduling is a promising
Externí odkaz:
http://arxiv.org/abs/2408.09140
In embodied instruction-following (EIF), the integration of pretrained language models (LMs) as task planners emerges as a significant branch, where tasks are planned at the skill level by prompting LMs with pretrained skills and user instructions. H
Externí odkaz:
http://arxiv.org/abs/2408.01024
Localized states in graphene have garnered significant attention in quantum information science due to their potential applications. Despite graphene's superior transport and electronic properties compared to other semiconductors, achieving nanoscale
Externí odkaz:
http://arxiv.org/abs/2407.20148
Autor:
Muduli, Manisha, Xia, Yongkang, Lee, Seunghyun, Gajowski, Nathan, Chae, Chris, Rajan, Siddharth, Hwang, Jinwoo, Arafin, Shamsul, Krishna, Sanjay
There is increased interest in the heterogeneous integration of various compound semiconductors with Si for a variety of electronic and photonic applications. This paper focuses on integrating GaAsSb (with absorption in the C-band at 1550nm) with sil
Externí odkaz:
http://arxiv.org/abs/2407.17607
Autor:
Eppalapally, Swetha, Dangi, Daksh, Bhat, Chaithra, Gupta, Ankita, Zhang, Ruiyi, Agarwal, Shubham, Bagga, Karishma, Yoon, Seunghyun, Lipka, Nedim, Rossi, Ryan A., Dernoncourt, Franck
Question-answering for domain-specific applications has recently attracted much interest due to the latest advancements in large language models (LLMs). However, accurately assessing the performance of these applications remains a challenge, mainly d
Externí odkaz:
http://arxiv.org/abs/2407.16073
Identifying Speakers in Dialogue Transcripts: A Text-based Approach Using Pretrained Language Models
Autor:
Nguyen, Minh, Dernoncourt, Franck, Yoon, Seunghyun, Deilamsalehy, Hanieh, Tan, Hao, Rossi, Ryan, Tran, Quan Hung, Bui, Trung, Nguyen, Thien Huu
We introduce an approach to identifying speaker names in dialogue transcripts, a crucial task for enhancing content accessibility and searchability in digital media archives. Despite the advancements in speech recognition, the task of text-based spea
Externí odkaz:
http://arxiv.org/abs/2407.12094