Zobrazeno 1 - 10
of 3 066
pro vyhledávání: '"Ji, Tao"'
Large Vision-Language Models (LVLMs) have achieved impressive performance, yet research has pointed out a serious issue with object hallucinations within these models. However, there is no clear conclusion as to which part of the model these hallucin
Externí odkaz:
http://arxiv.org/abs/2410.03176
Autor:
Li, Yiyan, Li, Haoyang, Pu, Zhao, Zhang, Jing, Zhang, Xinyi, Ji, Tao, Sun, Luming, Li, Cuiping, Chen, Hong
Knob tuning plays a crucial role in optimizing databases by adjusting knobs to enhance database performance. However, traditional tuning methods often follow a Try-Collect-Adjust approach, proving inefficient and database-specific. Moreover, these me
Externí odkaz:
http://arxiv.org/abs/2408.02213
Autor:
Wang, Jie, Ji, Tao, Wu, Yuanbin, Yan, Hang, Gui, Tao, Zhang, Qi, Huang, Xuanjing, Wang, Xiaoling
Generalizing to longer sentences is important for recent Transformer-based language models. Besides algorithms manipulating explicit position features, the success of Transformers without position encodings (NoPE) provides a new way to overcome the c
Externí odkaz:
http://arxiv.org/abs/2404.12224
Large language models (LLMs) have achieved impressive performance in numerous domains but often struggle to process lengthy inputs effectively and efficiently due to limited length generalization and attention's quadratic computational demands. Many
Externí odkaz:
http://arxiv.org/abs/2402.10685
Autor:
Dou, Shihan, Liu, Yan, Jia, Haoxiang, Xiong, Limao, Zhou, Enyu, Shen, Wei, Shan, Junjie, Huang, Caishuang, Wang, Xiao, Fan, Xiaoran, Xi, Zhiheng, Zhou, Yuhao, Ji, Tao, Zheng, Rui, Zhang, Qi, Huang, Xuanjing, Gui, Tao
The advancement of large language models (LLMs) has significantly propelled the field of code generation. Previous work integrated reinforcement learning (RL) with compiler feedback for exploring the output space of LLMs to enhance code generation qu
Externí odkaz:
http://arxiv.org/abs/2402.01391
Autor:
Fan, Xiaoran, Ji, Tao, Jiang, Changhao, Li, Shuo, Jin, Senjie, Song, Sirui, Wang, Junke, Hong, Boyang, Chen, Lu, Zheng, Guodong, Zhang, Ming, Huang, Caishuang, Zheng, Rui, Xi, Zhiheng, Zhou, Yuhao, Dou, Shihan, Ye, Junjie, Yan, Hang, Gui, Tao, Zhang, Qi, Qiu, Xipeng, Huang, Xuanjing, Wu, Zuxuan, Jiang, Yu-Gang
Current large vision-language models (VLMs) often encounter challenges such as insufficient capabilities of a single visual component and excessively long visual tokens. These issues can limit the model's effectiveness in accurately interpreting comp
Externí odkaz:
http://arxiv.org/abs/2401.17221
Autor:
Wang, Binghai, Zheng, Rui, Chen, Lu, Liu, Yan, Dou, Shihan, Huang, Caishuang, Shen, Wei, Jin, Senjie, Zhou, Enyu, Shi, Chenyu, Gao, Songyang, Xu, Nuo, Zhou, Yuhao, Fan, Xiaoran, Xi, Zhiheng, Zhao, Jun, Wang, Xiao, Ji, Tao, Yan, Hang, Shen, Lixing, Chen, Zhan, Gui, Tao, Zhang, Qi, Qiu, Xipeng, Huang, Xuanjing, Wu, Zuxuan, Jiang, Yu-Gang
Reinforcement Learning from Human Feedback (RLHF) has become a crucial technology for aligning language models with human values and intentions, enabling models to produce more helpful and harmless responses. Reward models are trained as proxies for
Externí odkaz:
http://arxiv.org/abs/2401.06080
Various works have utilized deep learning to address the query optimization problem in database system. They either learn to construct plans from scratch in a bottom-up manner or steer the plan generation behavior of traditional optimizer using hints
Externí odkaz:
http://arxiv.org/abs/2312.06357
Autor:
Herczeg, Gregory J., Chen, Yuguang, Donati, Jean-Francois, Dupree, Andrea K., Walter, Frederick M., Hillenbrand, Lynne A., Johns-Krull, Christopher M., Manara, Carlo F., Guenther, Hans Moritz, Fang, Min, Schneider, P. Christian, Valenti, Jeff A., Alencar, Silvia H. P., Venuti, Laura, Alcala, Juan Manuel, Frasca, Antonio, Arulanantham, Nicole, Linsky, Jeffrey L., Bouvier, Jerome, Brickhouse, Nancy S., Calvet, Nuria, Espaillat, Catherine C., Campbell-White, Justyn, Carpenter, John M., Chang, Seok-Jun, Cruz, Kelle L., Dahm, S. E., Eisloeffel, Jochen, Edwards, Suzan, Fischer, William J., Guo, Zhen, Henning, Thomas, Ji, Tao, Jose, Jesse, Kastner, Joel H., Launhardt, Ralf, Principe, David A., Robinson, Conner E., Serna, Javier, Siwak, Michal, Sterzik, Michael F., Takasao, Shinsuke
Accretion plays a central role in the physics that governs the evolution and dispersal of protoplanetary disks. The primary goal of this paper is to analyze the stability over time of the mass accretion rate onto TW Hya, the nearest accreting solar-m
Externí odkaz:
http://arxiv.org/abs/2308.14590
Publikováno v:
Cailiao Baohu, Vol 57, Iss 8, Pp 115-121 (2024)
Reinforced concrete structures often fail prematurely due to rebar corrosion.Adding corrosion inhibitors can effectively mitigate rebar corrosion and enhance the durability of reinforced concrete structures.Lignosulfonate, as a green and efficient
Externí odkaz:
https://doaj.org/article/6ab7cb385308474487c359c586e0873a