Zobrazeno 1 - 10
of 368
pro vyhledávání: '"Wang, Yike"'
Autor:
Feng, Shangbin, Wang, Zifeng, Wang, Yike, Ebrahimi, Sayna, Palangi, Hamid, Miculicich, Lesly, Kulshrestha, Achin, Rauschmayr, Nathalie, Choi, Yejin, Tsvetkov, Yulia, Lee, Chen-Yu, Pfister, Tomas
We propose Model Swarms, a collaborative search algorithm to adapt LLMs via swarm intelligence, the collective behavior guiding individual systems. Specifically, Model Swarms starts with a pool of LLM experts and a utility function. Guided by the bes
Externí odkaz:
http://arxiv.org/abs/2410.11163
Autor:
Feng, Shangbin, Shi, Weijia, Wang, Yike, Ding, Wenxuan, Ahia, Orevaoghene, Li, Shuyue Stella, Balachandran, Vidhisha, Sitaram, Sunayana, Tsvetkov, Yulia
Multilingual LLMs often have knowledge disparities across languages, with larger gaps in under-resourced languages. Teaching LLMs to abstain in the face of knowledge gaps is thus a promising strategy to mitigate hallucinations in multilingual setting
Externí odkaz:
http://arxiv.org/abs/2406.15948
Autor:
Feng, Shangbin, Shi, Weijia, Wang, Yike, Ding, Wenxuan, Balachandran, Vidhisha, Tsvetkov, Yulia
Despite efforts to expand the knowledge of large language models (LLMs), knowledge gaps -- missing or outdated information in LLMs -- might always persist given the evolving nature of knowledge. In this work, we study approaches to identify LLM knowl
Externí odkaz:
http://arxiv.org/abs/2402.00367
This paper presents a novel application of graph neural networks for modeling and estimating network heterogeneity. Network heterogeneity is characterized by variations in unit's decisions or outcomes that depend not only on its own attributes but al
Externí odkaz:
http://arxiv.org/abs/2401.16275
Autor:
Wang, Yike, Feng, Shangbin, Wang, Heng, Shi, Weijia, Balachandran, Vidhisha, He, Tianxing, Tsvetkov, Yulia
Large language models (LLMs) often encounter knowledge conflicts, scenarios where discrepancy arises between the internal parametric knowledge of LLMs and non-parametric information provided in the prompt context. In this work we ask what are the des
Externí odkaz:
http://arxiv.org/abs/2310.00935
Autor:
Milli, Smitha, Carroll, Micah, Wang, Yike, Pandey, Sashrika, Zhao, Sebastian, Dragan, Anca D.
In a pre-registered randomized experiment, we found that, relative to a reverse-chronological baseline, Twitter's engagement-based ranking algorithm amplifies emotionally charged, out-group hostile content that users say makes them feel worse about t
Externí odkaz:
http://arxiv.org/abs/2305.16941
To improve the spatial resolution of power Doppler (PD) imaging, we explored null subtraction imaging (NSI) as an alternative beamforming technique to delay-and-sum (DAS). NSI is a nonlinear beamforming approach that uses three different apodizations
Externí odkaz:
http://arxiv.org/abs/2301.03719
Semantic segmentation is important for scene understanding. To address the scenes of adverse illumination conditions of natural images, thermal infrared (TIR) images are introduced. Most existing RGB-T semantic segmentation methods follow three cross
Externí odkaz:
http://arxiv.org/abs/2210.14530
Autor:
Xiong, Bowen, Wang, Zhiwei, Peng, Fang, Tu, Zhixin, Yan, Yuping, Zheng, Fengzhou, Cheng, Dongqing, Wang, Zhitai, Deng, Hui, Luo, Zhaoqian, Wang, Yike, Wang, Zhenjun
Publikováno v:
In Intermetallics November 2024 174
Publikováno v:
In Journal of Alloys and Compounds 25 October 2024 1003