Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Jiang, Sihang"'
Autonomous agents operating on the graphical user interfaces (GUIs) of various applications hold immense practical value. Unlike the large language model (LLM)-based methods which rely on structured texts and customized backends, the approaches using
Externí odkaz:
http://arxiv.org/abs/2410.19461
Autor:
Ma, Lipeng, Yang, Weidong, Jiang, Sihang, Fei, Ben, Zhou, Mingjie, Li, Shuhao, Xu, Bo, Xiao, Yanghua
Logs play a critical role in providing essential information for system monitoring and troubleshooting. Recently, with the success of pre-trained language models (PLMs) and large language models (LLMs) in natural language processing (NLP), smaller PL
Externí odkaz:
http://arxiv.org/abs/2409.01909
Online courses have significantly lowered the barrier to accessing education, yet the varying content quality of these videos poses challenges. In this work, we focus on the task of automatically evaluating the quality of video course content. We hav
Externí odkaz:
http://arxiv.org/abs/2407.12005
Quantities are distinct and critical components of texts that characterize the magnitude properties of entities, providing a precise perspective for the understanding of natural language, especially for reasoning tasks. In recent years, there has bee
Externí odkaz:
http://arxiv.org/abs/2312.17532
Autor:
Gu, Zhouhong, Zhu, Xiaoxuan, Ye, Haoning, Zhang, Lin, Wang, Jianchen, Zhu, Yixin, Jiang, Sihang, Xiong, Zhuozhi, Li, Zihan, Wu, Weijie, He, Qianyu, Xu, Rui, Huang, Wenhao, Liu, Jingping, Wang, Zili, Wang, Shusen, Zheng, Weiguo, Feng, Hongwei, Xiao, Yanghua
New Natural Langauge Process~(NLP) benchmarks are urgently needed to align with the rapid development of large language models (LLMs). We present Xiezhi, the most comprehensive evaluation suite designed to assess holistic domain knowledge. Xiezhi com
Externí odkaz:
http://arxiv.org/abs/2306.05783
Autor:
Gu, Zhouhong, Zhu, Xiaoxuan, Ye, Haoning, Zhang, Lin, Xiong, Zhuozhi, Li, Zihan, He, Qianyu, Jiang, Sihang, Feng, Hongwei, Xiao, Yanghua
Domain knowledge refers to the in-depth understanding, expertise, and familiarity with a specific subject, industry, field, or area of special interest. The existing benchmarks are all lack of an overall design for domain knowledge evaluation. Holdin
Externí odkaz:
http://arxiv.org/abs/2304.11679
Autor:
Gu, Zhouhong, Jiang, Sihang, Liu, Jingping, Xiao, Yanghua, Feng, Hongwei, Li, Zhixu, Liang, Jiaqing, Zhong, Jian
Taxonomy is formulated as directed acyclic concepts graphs or trees that support many downstream tasks. Many new coming concepts need to be added to an existing taxonomy. The traditional taxonomy expansion task aims only at finding the best position
Externí odkaz:
http://arxiv.org/abs/2303.14480
The model's ability to understand synonymous expression is crucial in many kinds of downstream tasks. It will make the model to better understand the similarity between context, and more robust to the synonym substitution attack. However, many Pretra
Externí odkaz:
http://arxiv.org/abs/2303.14425
It is shown that various symptoms could remain in the stage of post-acute sequelae of SARS-CoV-2 infection (PASC), otherwise known as Long COVID. A number of COVID patients suffer from heterogeneous symptoms, which severely impact recovery from the p
Externí odkaz:
http://arxiv.org/abs/2211.08485
Publikováno v:
In Building and Environment 1 November 2024 265
