Zobrazeno 1 - 10
of 8 914
pro vyhledávání: '"Sangwon So"'
Publikováno v:
Investigative and Clinical Urology, Vol 65, Iss 4, Pp 361-367 (2024)
Purpose: To evaluate the efficacy and safety of holmium laser enucleation of the prostate (HoLEP) in a large prospective cohort of patients with benign prostatic hyperplasia (BPH) through systematic follow-up at a single institution. Materials and M
Externí odkaz:
https://doaj.org/article/e72751dbc1074f27859dd1373113dcd9
Recently, large language models (LLMs) have demonstrated remarkable performance in abstractive summarization tasks. However, controllable summarization with LLMs remains underexplored, limiting their ability to generate summaries that align with spec
Externí odkaz:
http://arxiv.org/abs/2411.12460
Autor:
Rashid, Sulaiman Muhammad, Aliyu, Ibrahim, Isah, Abubakar, Lee, Jihoon, Oh, Sangwon, Hahn, Minsoo, Kim, Jinsul
This paper presents an approach to joint wireless and computing resource management in slice-enabled metaverse networks, addressing the challenges of inter-slice and intra-slice resource allocation in the presence of in-network computing. We formulat
Externí odkaz:
http://arxiv.org/abs/2411.04561
Autor:
Hien, Truong Thi, Park, Jaesung, Taemyeong, Kwak, Nguyen, Cuong Manh, Shim, Jeong Hyun, Oh, Sangwon
A smooth diamond film, characterized by exceptional thermal conductivity, chemical stability, and optical properties, is highly suitable for a wide range of advanced applications. However, achieving uniform film quality presents a significant challen
Externí odkaz:
http://arxiv.org/abs/2411.01096
Multi-hop reasoning, which requires multi-step reasoning based on the supporting documents within a given context, remains challenging for large language models (LLMs). LLMs often struggle to filter out irrelevant documents within the context, and th
Externí odkaz:
http://arxiv.org/abs/2410.07103
Model updating of engineering systems inevitably involves handling both aleatory or inherent randomness and epistemic uncertainties or uncertainities arising from a lack of knowledge or information about the system. Addressing these uncertainties pos
Externí odkaz:
http://arxiv.org/abs/2410.03150
Recent advances in automated essay scoring (AES) have shifted towards evaluating multiple traits to provide enriched feedback. Like typical AES systems, multi-trait AES employs the quadratic weighted kappa (QWK) to measure agreement with human raters
Externí odkaz:
http://arxiv.org/abs/2409.17472
The demand for reliable AI systems has intensified the need for interpretable deep neural networks. Concept bottleneck models (CBMs) have gained attention as an effective approach by leveraging human-understandable concepts to enhance interpretabilit
Externí odkaz:
http://arxiv.org/abs/2409.14630
Knowledge Graph-to-Text (G2T) generation involves verbalizing structured knowledge graphs into natural language text. Recent advancements in Pretrained Language Models (PLMs) have improved G2T performance, but their effectiveness depends on datasets
Externí odkaz:
http://arxiv.org/abs/2409.07088
In Reinforcement Learning (RL), designing precise reward functions remains to be a challenge, particularly when aligning with human intent. Preference-based RL (PbRL) was introduced to address this problem by learning reward models from human feedbac
Externí odkaz:
http://arxiv.org/abs/2408.04190