Zobrazeno 1 - 10
of 326
pro vyhledávání: '"Liu, XiangYan"'
Autor:
Wang, Xu, Zheng, Wenhao, Osella, Silvio, Arisnabarreta, Nicolás, Troste, Jörn, Serra, Gianluca, Ivasenko, Oleksandr, Lucotti, Andrea, Beljonne, David, Bonn, Mischa, Liu, Xiangyang, Hansen, Michael Ryan, Tommasini, Matteo, De Feyter, Steven, Liu, Junzhi, Wang, Hai I., Feng, Xinliang, Ma, Ji
Structurally precision graphene nanoribbons (GNRs) are promising candidates for next-generation nanoelectronics due to their intriguing and tunable electronic structures. GNRs with hybrid edge structures often confer them unique geometries associated
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A94166
https://tud.qucosa.de/api/qucosa%3A94166/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A94166/attachment/ATT-0/
Autor:
Liu, Xiangyan, Lan, Bo, Hu, Zhiyuan, Liu, Yang, Zhang, Zhicheng, Wang, Fei, Shieh, Michael, Zhou, Wenmeng
Large Language Models (LLMs) excel in stand-alone code tasks like HumanEval and MBPP, but struggle with handling entire code repositories. This challenge has prompted research on enhancing LLM-codebase interaction at a repository scale. Current solut
Externí odkaz:
http://arxiv.org/abs/2408.03910
Autor:
Ji, Wei, Liu, Xiangyan, Sun, Yingfei, Deng, Jiajun, Qin, You, Nuwanna, Ammar, Qiu, Mengyao, Wei, Lina, Zimmermann, Roger
Detecting visual content on language expression has become an emerging topic in the community. However, in the video domain, the existing setting, i.e., spatial-temporal video grounding (STVG), is formulated to only detect one pre-existing object in
Externí odkaz:
http://arxiv.org/abs/2407.05610
Sequential Recommendation (SR) aims to predict future user-item interactions based on historical interactions. While many SR approaches concentrate on user IDs and item IDs, the human perception of the world through multi-modal signals, like text and
Externí odkaz:
http://arxiv.org/abs/2403.17372
The reasoning capabilities of LLM (Large Language Model) are widely acknowledged in recent research, inspiring studies on tool learning and autonomous agents. LLM serves as the "brain" of the agent, orchestrating multiple tools for collaborative mult
Externí odkaz:
http://arxiv.org/abs/2310.08446
Referring Image Understanding (RIS) has been extensively studied over the past decade, leading to the development of advanced algorithms. However, there has been a lack of research investigating how existing algorithms should be benchmarked with comp
Externí odkaz:
http://arxiv.org/abs/2309.17205
Autor:
Ni, Yongxin, Cheng, Yu, Liu, Xiangyan, Fu, Junchen, Li, Youhua, He, Xiangnan, Zhang, Yongfeng, Yuan, Fajie
Micro-videos have recently gained immense popularity, sparking critical research in micro-video recommendation with significant implications for the entertainment, advertising, and e-commerce industries. However, the lack of large-scale public micro-
Externí odkaz:
http://arxiv.org/abs/2309.15379
Multi-modal recommendation systems, which integrate diverse types of information, have gained widespread attention in recent years. However, compared to traditional collaborative filtering-based multi-modal recommendation systems, research on multi-m
Externí odkaz:
http://arxiv.org/abs/2308.04067