Zobrazeno 1 - 10
of 500
pro vyhledávání: '"CHEN Guoxin"'
Autor:
Chen, Guoxin, Zhang, Zhong, Cong, Xin, Guo, Fangda, Wu, Yesai, Lin, Yankai, Feng, Wenzheng, Wang, Yasheng
Tool learning enables large language models (LLMs) to interact with external tools and APIs, greatly expanding the application scope of LLMs. However, due to the dynamic nature of external environments, these tools and APIs may become outdated over t
Externí odkaz:
http://arxiv.org/abs/2410.06617
Autor:
Wang, Bowen, Chang, Jiuyang, Qian, Yiming, Chen, Guoxin, Chen, Junhao, Jiang, Zhouqiang, Zhang, Jiahao, Nakashima, Yuta, Nagahara, Hajime
Large language models (LLMs) have recently showcased remarkable capabilities, spanning a wide range of tasks and applications, including those in the medical domain. Models like GPT-4 excel in medical question answering but may face challenges in the
Externí odkaz:
http://arxiv.org/abs/2408.01933
Autor:
Chen, Guoxin
Whether it is oil and gas exploration or geological science research, it is necessary to accurately grasp the structural information of underground media. Full waveform inversion is currently the most popular seismic wave inversion method, but it is
Externí odkaz:
http://arxiv.org/abs/2407.19419
Direct Preference Optimization (DPO) using an implicit reward model has proven to be an effective alternative to reinforcement learning from human feedback (RLHF) for fine-tuning preference aligned large language models (LLMs). However, the overall p
Externí odkaz:
http://arxiv.org/abs/2406.10858
Autor:
Bi, Jiachang, Lin, Yu, Zhang, Qinghua, Liu, Zhanfeng, Zhang, Ziyun, Zhang, Ruyi, Yao, Xiong, Chen, Guoxin, Liu, Haigang, Huang, Yaobo, Sun, Yuanhe, Zhang, Hui, Sun, Zhe, Xiao, Shaozhu, Cao, Yanwei
Publikováno v:
Nano Letters 2024
Although transition-metal nitrides have been widely applied for several decades, experimental investigations of their high-resolution electronic band structures are rare due to the lack of high-quality single-crystalline samples. Here, we report on t
Externí odkaz:
http://arxiv.org/abs/2405.18150
Although recent advancements in large language models (LLMs) have significantly improved their performance on various tasks, they still face challenges with complex and symbolic multi-step reasoning, particularly in mathematical reasoning. To bolster
Externí odkaz:
http://arxiv.org/abs/2405.03553
Simultaneous control of magnetic anisotropy and magnetoresistance, especially with atomic scale precision, remains a pivotal challenge for realizing advanced spintronic functionalities. Here we demonstrate cooperative continuous control over both mag
Externí odkaz:
http://arxiv.org/abs/2403.00361
Elucidating the reasoning process with structured explanations from question to answer is crucial, as it significantly enhances the interpretability, traceability, and trustworthiness of question-answering (QA) systems. However, structured explanatio
Externí odkaz:
http://arxiv.org/abs/2401.13246
Autor:
Guo, Fangda, Luo, Xuanpu, Liu, Yanghao, Chen, Guoxin, Wang, Yongqing, Shen, Huawei, Cheng, Xueqi
Due to the ability of modeling relationships between two different types of entities, bipartite graphs are naturally employed in many real-world applications. Community Search in bipartite graphs is a fundamental problem and has gained much attention
Externí odkaz:
http://arxiv.org/abs/2401.12895
Autor:
Chen, Guoxin, Guo, Fangda, Wang, Yongqing, Liu, Yanghao, Yu, Peiying, Shen, Huawei, Cheng, Xueqi
Community search is a personalized community discovery problem designed to identify densely connected subgraphs containing the query node. Recently, community search in heterogeneous information networks (HINs) has received considerable attention. Ex
Externí odkaz:
http://arxiv.org/abs/2311.08919