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pro vyhledávání: '"Lin Wang"'
With the rapid advancement of large language models, there has been a growing interest in their capabilities in mathematical reasoning. However, existing research has primarily focused on text-based algebra problems, neglecting the study of geometry
Externí odkaz:
http://arxiv.org/abs/2409.09039
Autor:
Wu, Tao, Li, Mengze, Chen, Jingyuan, Ji, Wei, Lin, Wang, Gao, Jinyang, Kuang, Kun, Zhao, Zhou, Wu, Fei
Research on Multi-modal Large Language Models (MLLMs) towards the multi-image cross-modal instruction has received increasing attention and made significant progress, particularly in scenarios involving closely resembling images (e.g., change caption
Externí odkaz:
http://arxiv.org/abs/2408.12867
As the open community of large language models (LLMs) matures, multimodal LLMs (MLLMs) have promised an elegant bridge between vision and language. However, current research is inherently constrained by challenges such as the need for high-quality in
Externí odkaz:
http://arxiv.org/abs/2408.05019
Recent advances in text-to-3D generation have made significant progress. In particular, with the pretrained diffusion models, existing methods predominantly use Score Distillation Sampling (SDS) to train 3D models such as Neural RaRecent advances in
Externí odkaz:
http://arxiv.org/abs/2408.05008
Autor:
Wang, Ye, Xun, Jiahao, Hong, Minjie, Zhu, Jieming, Jin, Tao, Lin, Wang, Li, Haoyuan, Li, Linjun, Xia, Yan, Zhao, Zhou, Dong, Zhenhua
Generative retrieval has recently emerged as a promising approach to sequential recommendation, framing candidate item retrieval as an autoregressive sequence generation problem. However, existing generative methods typically focus solely on either b
Externí odkaz:
http://arxiv.org/abs/2406.14017
Autor:
Specht, Petra, Kang, Joo H., Tarafder, Kartick, Cieslinski, Robert, Barton, David, Barton, Bastian, Carlsson, Anna, Wang, Lin-Wang, Kisielowski, Christian
The static and genuine structure of small rhodium and rhodium/tungsten nanoparticles on an alumina support can be imaged with atomic resolution even if single digit atom clusters are investigated. Low dose rate electron microscopy is key to the achie
Externí odkaz:
http://arxiv.org/abs/2406.05689
Autor:
Lin, Wang, Chen, Jingyuan, Shi, Jiaxin, Zhu, Yichen, Liang, Chen, Miao, Junzhong, Jin, Tao, Zhao, Zhou, Wu, Fei, Yan, Shuicheng, Zhang, Hanwang
We tackle the common challenge of inter-concept visual confusion in compositional concept generation using text-guided diffusion models (TGDMs). It becomes even more pronounced in the generation of customized concepts, due to the scarcity of user-pro
Externí odkaz:
http://arxiv.org/abs/2405.06914
The insulator-to-metal transition (IMT) in vanadium dioxide (VO2) has garnered extensive attention for its potential applications in ultrafast switches, neuronal network architectures, and storage technologies. However, a significant controversy pers
Externí odkaz:
http://arxiv.org/abs/2404.07693
Autor:
Betzler, Sophia B., Lee, Daewon, Oaks-Leaf, Sam, Ophus, Colin, Wang, Lin-Wang, Asta, Mark, Limmer, David T., Zheng, Haimei
Strain at interfaces may profoundly impact the microstructure and properties of materials; thus, it is a major consideration when designing and engineering materials. Dislocation formation is a commonly known mechanism to release mismatch strain at s
Externí odkaz:
http://arxiv.org/abs/2404.02416
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 11, Pp 2848-2871 (2024)
Information extraction is the foundation of knowledge graph construction, and relation extraction, as a key process and core step of information extraction, aims to locate entities from text data and recognize semantic links between entities. Therefo
Externí odkaz:
https://doaj.org/article/2285d428fa0d441f994476ebf334f793
