Zobrazeno 1 - 10
of 672
pro vyhledávání: '"Wang Hanbin"'
Autor:
Wang Hanbin, Wang Luxuan, Liu Yunmei, Men Weidong, Hao Wanjiao, Fang Chuan, Li Chunhui, Zhang Lijian
Publikováno v:
Open Life Sciences, Vol 18, Iss 1, Pp 547-59 (2023)
Evidence has proved that intracranial aneurysm (IA) formation and rupture might be closely related to inflammatory response and oxidative stress. Our objective was to evaluate the potential of CD36 and glutathione (GSH) as biomarkers for IA. In this
Externí odkaz:
https://doaj.org/article/560a2cd62da44c229102f463c38ac945
Autor:
Zuo, Yuxin, Jiang, Wenxuan, Liu, Wenxuan, Li, Zixuan, Bai, Long, Wang, Hanbin, Zeng, Yutao, Jin, Xiaolong, Guo, Jiafeng, Cheng, Xueqi
Empirical evidence suggests that LLMs exhibit spontaneous cross-lingual alignment. Our findings suggest that although LLMs also demonstrate promising cross-lingual alignment in Information Extraction, there remains significant imbalance across langua
Externí odkaz:
http://arxiv.org/abs/2411.04794
Autor:
Li, Xinze, Wang, Hanbin, Liu, Zhenghao, Yu, Shi, Wang, Shuo, Yan, Yukun, Fu, Yukai, Gu, Yu, Yu, Ge
Pretrained language models have shown strong effectiveness in code-related tasks, such as code retrieval, code generation, code summarization, and code completion tasks. In this paper, we propose COde assistaNt viA retrieval-augmeNted language model
Externí odkaz:
http://arxiv.org/abs/2410.16229
Autor:
Yang, Weiqing, Wang, Hanbin, Liu, Zhenghao, Li, Xinze, Yan, Yukun, Wang, Shuo, Gu, Yu, Yu, Minghe, Liu, Zhiyuan, Yu, Ge
Debugging is a vital aspect of software development, yet the debugging capabilities of Large Language Models (LLMs) remain largely unexplored. This paper first introduces DEBUGEVAL, a comprehensive benchmark designed to evaluate the debugging capabil
Externí odkaz:
http://arxiv.org/abs/2408.05006
Autor:
Yuan, Lifan, Cui, Ganqu, Wang, Hanbin, Ding, Ning, Wang, Xingyao, Deng, Jia, Shan, Boji, Chen, Huimin, Xie, Ruobing, Lin, Yankai, Liu, Zhenghao, Zhou, Bowen, Peng, Hao, Liu, Zhiyuan, Sun, Maosong
We introduce Eurus, a suite of large language models (LLMs) optimized for reasoning. Finetuned from Mistral-7B and CodeLlama-70B, Eurus models achieve state-of-the-art results among open-source models on a diverse set of benchmarks covering mathemati
Externí odkaz:
http://arxiv.org/abs/2404.02078
Publikováno v:
Measurement Science Review, Vol 17, Iss 5, Pp 226-231 (2017)
Due to the variety of measurement tasks and the complexity of the errors of coordinate measuring machine (CMM), it is very difficult to reasonably evaluate the uncertainty of the measurement results of CMM. It has limited the application of CMM. Task
Externí odkaz:
https://doaj.org/article/ef79e0b3e8f14a1c96298667416a8e7c
This paper introduces INTERVENOR (INTERactiVE chaiN Of Repair), a system designed to emulate the interactive code repair processes observed in humans, encompassing both code diagnosis and code repair. INTERVENOR prompts Large Language Models (LLMs) t
Externí odkaz:
http://arxiv.org/abs/2311.09868
In this paper, we present a novel second-order generalised rotational discrete gradient scheme for numerically approximating the orthonormal frame gradient flow of biaxial nematic liquid crystals. This scheme relies on reformulating the original grad
Externí odkaz:
http://arxiv.org/abs/2310.10524
The large language model (LLM) based agents have demonstrated their capacity to automate and expedite software development processes. In this paper, we focus on game development and propose a multi-agent collaborative framework, dubbed GameGPT, to au
Externí odkaz:
http://arxiv.org/abs/2310.08067
Publikováno v:
In International Journal of Biological Macromolecules December 2024 283 Part 4