Zobrazeno 1 - 10
of 68
pro vyhledávání: '"GUO Hangyu"'
Publikováno v:
Shipin yu jixie, Vol 40, Iss 4, Pp 220-226 (2024)
Because of high moisture content, blueberries are susceptible to disease and insect infestation leading to corruption and deterioration, which has serious influence on the shelf life of blueberry fruits. This article summarizes the cause mechanism of
Externí odkaz:
https://doaj.org/article/cb9ab44e0440493e83054e75514a0337
Autor:
Hu, Chengwei, Zheng, Jianhui, He, Yancheng, Guo, Hangyu, Jiang, Junguang, Zhu, Han, Sun, Kai, Jiang, Yuning, Su, Wenbo, Zheng, Bo
Recent advancements in autonomous multi-agent systems (MAS) based on large language models (LLMs) have enhanced the application scenarios and improved the capability of LLMs to handle complex tasks. Despite demonstrating effectiveness, existing studi
Externí odkaz:
http://arxiv.org/abs/2412.03359
Autor:
Cao, Meng, Tang, Haoran, Zhao, Haoze, Guo, Hangyu, Liu, Jiaheng, Zhang, Ge, Liu, Ruyang, Sun, Qiang, Reid, Ian, Liang, Xiaodan
Recent advancements in video-based large language models (Video LLMs) have witnessed the emergence of diverse capabilities to reason and interpret dynamic visual content. Among them, gameplay videos stand out as a distinctive data source, often conta
Externí odkaz:
http://arxiv.org/abs/2412.01800
Autor:
He, Yancheng, Li, Shilong, Liu, Jiaheng, Tan, Yingshui, Wang, Weixun, Huang, Hui, Bu, Xingyuan, Guo, Hangyu, Hu, Chengwei, Zheng, Boren, Lin, Zhuoran, Liu, Xuepeng, Sun, Dekai, Lin, Shirong, Zheng, Zhicheng, Zhu, Xiaoyong, Su, Wenbo, Zheng, Bo
New LLM evaluation benchmarks are important to align with the rapid development of Large Language Models (LLMs). In this work, we present Chinese SimpleQA, the first comprehensive Chinese benchmark to evaluate the factuality ability of language model
Externí odkaz:
http://arxiv.org/abs/2411.07140
Autor:
Li, Shilong, He, Yancheng, Huang, Hui, Bu, Xingyuan, Liu, Jiaheng, Guo, Hangyu, Wang, Weixun, Gu, Jihao, Su, Wenbo, Zheng, Bo
Recent advancements in Direct Preference Optimization (DPO) have significantly enhanced the alignment of Large Language Models (LLMs) with human preferences, owing to its simplicity and effectiveness. However, existing methods typically optimize a sc
Externí odkaz:
http://arxiv.org/abs/2410.19720
Autor:
Wang, Pei, Wu, Yanan, Wang, Zekun, Liu, Jiaheng, Song, Xiaoshuai, Peng, Zhongyuan, Deng, Ken, Zhang, Chenchen, Wang, Jiakai, Peng, Junran, Zhang, Ge, Guo, Hangyu, Zhang, Zhaoxiang, Su, Wenbo, Zheng, Bo
Large Language Models (LLMs) have displayed massive improvements in reasoning and decision-making skills and can hold natural conversations with users. Recently, many tool-use benchmark datasets have been proposed. However, existing datasets have the
Externí odkaz:
http://arxiv.org/abs/2410.11710
As multimodal large language models (MLLMs) continue to demonstrate increasingly competitive performance across a broad spectrum of tasks, more intricate and comprehensive benchmarks have been developed to assess these cutting-edge models. These benc
Externí odkaz:
http://arxiv.org/abs/2410.06555
Autor:
Li, Yizhi, Zhang, Ge, Ma, Yinghao, Yuan, Ruibin, Zhu, Kang, Guo, Hangyu, Liang, Yiming, Liu, Jiaheng, Wang, Zekun, Yang, Jian, Wu, Siwei, Qu, Xingwei, Shi, Jinjie, Zhang, Xinyue, Yang, Zhenzhu, Wang, Xiangzhou, Zhang, Zhaoxiang, Liu, Zachary, Benetos, Emmanouil, Huang, Wenhao, Lin, Chenghua
Recent advancements in multimodal large language models (MLLMs) have aimed to integrate and interpret data across diverse modalities. However, the capacity of these models to concurrently process and reason about multiple modalities remains inadequat
Externí odkaz:
http://arxiv.org/abs/2409.15272
Autor:
Li, Shilong, He, Yancheng, Guo, Hangyu, Bu, Xingyuan, Bai, Ge, Liu, Jie, Liu, Jiaheng, Qu, Xingwei, Li, Yangguang, Ouyang, Wanli, Su, Wenbo, Zheng, Bo
Long-context capabilities are essential for large language models (LLMs) to tackle complex and long-input tasks. Despite numerous efforts made to optimize LLMs for long contexts, challenges persist in robustly processing long inputs. In this paper, w
Externí odkaz:
http://arxiv.org/abs/2406.14550
Large language models have seen widespread adoption in math problem-solving. However, in geometry problems that usually require visual aids for better understanding, even the most advanced multi-modal models currently still face challenges in effecti
Externí odkaz:
http://arxiv.org/abs/2406.11503