Zobrazeno 1 - 10
of 5 649
pro vyhledávání: '"An, Suhong"'
Assessing personality traits using large language models (LLMs) has emerged as an interesting and challenging area of research. While previous methods employ explicit questionnaires, often derived from the Big Five model of personality, we hypothesiz
Externí odkaz:
http://arxiv.org/abs/2409.09905
Autor:
Moon, Suhong, Jha, Siddharth, Erdogan, Lutfi Eren, Kim, Sehoon, Lim, Woosang, Keutzer, Kurt, Gholami, Amir
Recent advancements in function calling and tool use have significantly enhanced the capabilities of large language models (LLMs) by enabling them to interact with external information sources and execute complex tasks. However, the limited context w
Externí odkaz:
http://arxiv.org/abs/2409.02141
Autor:
Erdogan, Lutfi Eren, Lee, Nicholas, Jha, Siddharth, Kim, Sehoon, Tabrizi, Ryan, Moon, Suhong, Hooper, Coleman, Anumanchipalli, Gopala, Keutzer, Kurt, Gholami, Amir
Recent large language models (LLMs) have enabled the development of advanced agentic systems that can integrate various tools and APIs to fulfill user queries through function calling. However, the deployment of these LLMs on the edge has not been ex
Externí odkaz:
http://arxiv.org/abs/2409.00608
Autor:
Moon, Suhong, Abdulhai, Marwa, Kang, Minwoo, Suh, Joseph, Soedarmadji, Widyadewi, Behar, Eran Kohen, Chan, David M.
Large language models (LLMs) are trained from vast repositories of text authored by millions of distinct authors, reflecting an enormous diversity of human traits. While these models bear the potential to be used as approximations of human subjects i
Externí odkaz:
http://arxiv.org/abs/2407.06576
A double self-sustainable reconfigurable intelligent surfaces (RISs) assisted multi-user multiple input multiple output (MIMO) system is investigated. Two RISs are equipped with energy harvesting circuit to achieve self-sustainable transmission. The
Externí odkaz:
http://arxiv.org/abs/2405.03101
Autor:
Xu, Yijia, Zhang, Liqiang, Zhang, Wuming, Liu, Suhong, Li, Jingwen, Li, Xingang, Wang, Yuebin, Li, Yang
Road network extraction from satellite images is widely applicated in intelligent traffic management and autonomous driving fields. The high-resolution remote sensing images contain complex road areas and distracted background, which make it a challe
Externí odkaz:
http://arxiv.org/abs/2312.04744
Autor:
Kim, Sehoon, Moon, Suhong, Tabrizi, Ryan, Lee, Nicholas, Mahoney, Michael W., Keutzer, Kurt, Gholami, Amir
The reasoning capabilities of the recent LLMs enable them to execute external function calls to overcome their inherent limitations, such as knowledge cutoffs, poor arithmetic skills, or lack of access to private data. This development has allowed LL
Externí odkaz:
http://arxiv.org/abs/2312.04511
Publikováno v:
BMC Complementary Medicine and Therapies, Vol 24, Iss 1, Pp 1-17 (2024)
Abstract Background Metabolic syndrome (MetS) is a precursor to the development of many diseases (atherosclerosis, diabetes, etc.). It is marked by disruptions in glucose and lipid metabolism, along with hypertension. Numerous types of risk factors c
Externí odkaz:
https://doaj.org/article/8b6c4bc9c31b4a608a966082a4a7db2b
Autor:
Yuanyuan Liu, Bihuang Zhu, Jichun Tang, Lilong Huang, Guodong Chen, Leyi Chen, Suhong Bu, Haitao Zhu, Zupei Liu, Zhan Li, Lijun Meng, Guifu Liu, Shaokui Wang
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract Epistasis is one of important genetic components for a quantitative trait in plant. Eshed and Zamir found negative epistatic interactions of quantitative trait loci in Tomato first. We detected that positive (negative) QTLs generated mostly
Externí odkaz:
https://doaj.org/article/8f9e37a65c3844a4a29170329c04f9a8
Autor:
Kim, Sehoon, Mangalam, Karttikeya, Moon, Suhong, Malik, Jitendra, Mahoney, Michael W., Gholami, Amir, Keutzer, Kurt
The recent emergence of Large Language Models based on the Transformer architecture has enabled dramatic advancements in the field of Natural Language Processing. However, these models have long inference latency, which limits their deployment and ma
Externí odkaz:
http://arxiv.org/abs/2302.07863