Zobrazeno 1 - 10
of 19 594
pro vyhledávání: '"A Yudi"'
Autor:
Pawitan, Yudi, Holmes, Chris
There is a growing literature on reasoning by large language models (LLMs), but the discussion on the uncertainty in their responses is still lacking. Our aim is to assess the extent of confidence that LLMs have in their answers and how it correlates
Externí odkaz:
http://arxiv.org/abs/2412.15296
Quantum correlations are essential to the emergent behaviors of quantum systems, supporting key phenomena such as localization or delocalization of particles, quantum avalanches in many-body localized systems, and quantum information transfer. In ope
Externí odkaz:
http://arxiv.org/abs/2412.13524
Autor:
Wang, Lu, Yang, Fangkai, Zhang, Chaoyun, Lu, Junting, Qian, Jiaxu, He, Shilin, Zhao, Pu, Qiao, Bo, Huang, Ray, Qin, Si, Su, Qisheng, Ye, Jiayi, Zhang, Yudi, Lou, Jian-Guang, Lin, Qingwei, Rajmohan, Saravan, Zhang, Dongmei, Zhang, Qi
As AI continues to advance, there is a growing demand for systems that go beyond language-based assistance and move toward intelligent agents capable of performing real-world actions. This evolution requires the transition from traditional Large Lang
Externí odkaz:
http://arxiv.org/abs/2412.10047
Autor:
Xie, Yudi, Huang, Weichen, Alter, Esther, Schwartz, Jeremy, Tenenbaum, Joshua B., DiCarlo, James J.
Studies of the functional role of the primate ventral visual stream have traditionally focused on object categorization, often ignoring -- despite much prior evidence -- its role in estimating "spatial" latents such as object position and pose. Most
Externí odkaz:
http://arxiv.org/abs/2412.09115
This paper tackles the problem of video question answering (VideoQA), a task that often requires multi-step reasoning and a profound understanding of spatial-temporal dynamics. While large video-language models perform well on benchmarks, they often
Externí odkaz:
http://arxiv.org/abs/2412.01694
Autor:
Li, Leping, Song, Hongqiang, Hou, Yijun, Zhou, Guiping, Tan, Baolin, Ji, Kaifan, Xiang, Yongyuan, Hou, Zhenyong, Guo, Yang, Qiu, Ye, Su, Yingna, Ji, Haisheng, Zhang, Qingmin, Ou, Yudi
Failure of a filament eruption caused by magnetic reconnection between the erupting filament and the overlying magnetic field has been previously proposed in numerical simulations. It is, however, rarely observed. In this study, we report the reconne
Externí odkaz:
http://arxiv.org/abs/2412.01126
Autor:
Zhang, Yudi, Xiao, Pei, Wang, Lu, Zhang, Chaoyun, Fang, Meng, Du, Yali, Puzyrev, Yevgeniy, Yao, Randolph, Qin, Si, Lin, Qingwei, Pechenizkiy, Mykola, Zhang, Dongmei, Rajmohan, Saravan, Zhang, Qi
In-context learning (ICL) and Retrieval-Augmented Generation (RAG) have gained attention for their ability to enhance LLMs' reasoning by incorporating external knowledge but suffer from limited contextual window size, leading to insufficient informat
Externí odkaz:
http://arxiv.org/abs/2411.03349
In this paper, we carry out multiwavelength and multiview observations of the prominence eruption, which generates a C2.3 class flare and a coronal mass ejection (CME) on 2023 March 7. For the first time, we apply the revised cone model to three-dime
Externí odkaz:
http://arxiv.org/abs/2410.22724
Large Vision-Language Models (LVLMs) evolve rapidly as Large Language Models (LLMs) was equipped with vision modules to create more human-like models. However, we should carefully evaluate their applications in different domains, as they may possess
Externí odkaz:
http://arxiv.org/abs/2409.15256
Autor:
Xu, Wang, Wang, Shuo, Zhao, Weilin, Han, Xu, Yan, Yukun, Zhang, Yudi, Tao, Zhe, Liu, Zhiyuan, Che, Wanxiang
Large language models (LLMs) have demonstrated the ability to improve human efficiency through conversational interactions. Conventional LLM-powered dialogue systems, operating on a turn-based paradigm, preclude real-time interaction during response
Externí odkaz:
http://arxiv.org/abs/2409.11727