Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Feng, Yingchaojie"'
Autor:
Zhang, Wei, Kam-Kwai, Wong, Xu, Biying, Ren, Yiwen, Li, Yuhuai, Zhu, Minfeng, Feng, Yingchaojie, Chen, Wei
The integration of new technology with cultural studies enhances our understanding of cultural heritage but often struggles to connect with diverse audiences. It is challenging to align personal interpretations with the intended meanings across diffe
Externí odkaz:
http://arxiv.org/abs/2405.00435
Autor:
Pan, Bo, Lu, Jiaying, Wang, Ke, Zheng, Li, Wen, Zhen, Feng, Yingchaojie, Zhu, Minfeng, Chen, Wei
The potential of automatic task-solving through Large Language Model (LLM)-based multi-agent collaboration has recently garnered widespread attention from both the research community and industry. While utilizing natural language to coordinate multip
Externí odkaz:
http://arxiv.org/abs/2404.11943
Autor:
Feng, Yingchaojie, Chen, Zhizhang, Kang, Zhining, Wang, Sijia, Zhu, Minfeng, Zhang, Wei, Chen, Wei
The proliferation of large language models (LLMs) has underscored concerns regarding their security vulnerabilities, notably against jailbreak attacks, where adversaries design jailbreak prompts to circumvent safety mechanisms for potential misuse. A
Externí odkaz:
http://arxiv.org/abs/2404.08793
The proliferation of large language models (LLMs) has revolutionized the capabilities of natural language interfaces (NLIs) for data analysis. LLMs can perform multi-step and complex reasoning to generate data insights based on users' analytic intent
Externí odkaz:
http://arxiv.org/abs/2404.01644
Recently, Large Language Model based Autonomous system(LLMAS) has gained great popularity for its potential to simulate complicated behaviors of human societies. One of its main challenges is to present and analyze the dynamic events evolution of LLM
Externí odkaz:
http://arxiv.org/abs/2402.08995
Autor:
Zhang, Wei, Zhang, Jian-Wei, Wong, Kam Kwai, Wang, Yifang, Feng, Yingchaojie, Wang, Luwei, Chen, Wei
Publikováno v:
Journal of Computer Science and Technology.2024
Traditional Chinese Painting (TCP) is an invaluable cultural heritage resource and a unique visual art style. In recent years, increasing interest has been placed on digitalizing TCPs to preserve and revive the culture. The resulting digital copies h
Externí odkaz:
http://arxiv.org/abs/2307.14227
Autor:
Feng, Yingchaojie, Wang, Xingbo, Wong, Kam Kwai, Wang, Sijia, Lu, Yuhong, Zhu, Minfeng, Wang, Baicheng, Chen, Wei
Generative text-to-image models have gained great popularity among the public for their powerful capability to generate high-quality images based on natural language prompts. However, developing effective prompts for desired images can be challenging
Externí odkaz:
http://arxiv.org/abs/2307.09036
Autor:
Feng, Yingchaojie, Wang, Xingbo, Pan, Bo, Wong, Kam Kwai, Ren, Yi, Liu, Shi, Yan, Zihan, Ma, Yuxin, Qu, Huamin, Chen, Wei
Natural language interfaces (NLIs) enable users to flexibly specify analytical intentions in data visualization. However, diagnosing the visualization results without understanding the underlying generation process is challenging. Our research explor
Externí odkaz:
http://arxiv.org/abs/2301.10385
Akademický článek
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Autor:
Wang, Yanyan, Bai, Zhanning, Lin, Zhifeng, Dong, Xiaoqing, Feng, Yingchaojie, Pan, Jiacheng, Chen, Wei
Publikováno v:
In Visual Informatics December 2021 5(4):49-55