Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Liu, Jiateng"'
Autor:
Liu, Jiateng, Ai, Lin, Liu, Zizhou, Karisani, Payam, Hui, Zheng, Fung, May, Nakov, Preslav, Hirschberg, Julia, Ji, Heng
Propaganda plays a critical role in shaping public opinion and fueling disinformation. While existing research primarily focuses on identifying propaganda techniques, it lacks the ability to capture the broader motives and the impacts of such content
Externí odkaz:
http://arxiv.org/abs/2409.18997
Autor:
Zhang, Yuji, Li, Sha, Liu, Jiateng, Yu, Pengfei, Fung, Yi R., Li, Jing, Li, Manling, Ji, Heng
Hallucination is often regarded as a major impediment for using large language models (LLMs), especially for knowledge-intensive tasks. Even when the training corpus consists solely of true statements, language models still generate hallucinations in
Externí odkaz:
http://arxiv.org/abs/2407.08039
The dynamic nature of real-world information necessitates efficient knowledge editing (KE) in large language models (LLMs) for knowledge updating. However, current KE approaches, which typically operate on (subject, relation, object) triples, ignore
Externí odkaz:
http://arxiv.org/abs/2402.11324
Autor:
Yang, Ke, Liu, Jiateng, Wu, John, Yang, Chaoqi, Fung, Yi R., Li, Sha, Huang, Zixuan, Cao, Xu, Wang, Xingyao, Wang, Yiquan, Ji, Heng, Zhai, Chengxiang
The prominent large language models (LLMs) of today differ from past language models not only in size, but also in the fact that they are trained on a combination of natural language and formal language (code). As a medium between humans and computer
Externí odkaz:
http://arxiv.org/abs/2401.00812
To solve complex tasks, large language models (LLMs) often require multiple rounds of interactions with the user, sometimes assisted by external tools. However, current evaluation protocols often emphasize benchmark performance with single-turn excha
Externí odkaz:
http://arxiv.org/abs/2309.10691
Autor:
Stearns, Colton, Rempe, Davis, Liu, Jiateng, Fu, Alex, Mascha, Sebastien, Park, Jeong Joon, Paschalidou, Despoina, Guibas, Leonidas J.
Modern depth sensors such as LiDAR operate by sweeping laser-beams across the scene, resulting in a point cloud with notable 1D curve-like structures. In this work, we introduce a new point cloud processing scheme and backbone, called CurveCloudNet,
Externí odkaz:
http://arxiv.org/abs/2303.12050
Cross-Database Micro-Expression Recognition (CDMER) aims to develop the Micro-Expression Recognition (MER) methods with strong domain adaptability, i.e., the ability to recognize the Micro-Expressions (MEs) of different subjects captured by different
Externí odkaz:
http://arxiv.org/abs/2111.15361
Correctly perceiving micro-expression is difficult since micro-expression is an involuntary, repressed, and subtle facial expression, and efficiently revealing the subtle movement changes and capturing the significant segments in a micro-expression s
Externí odkaz:
http://arxiv.org/abs/2010.09342
Autor:
Jiang, Xingxun, Zong, Yuan, Zheng, Wenming, Tang, Chuangao, Xia, Wanchuang, Lu, Cheng, Liu, Jiateng
Recently, facial expression recognition (FER) in the wild has gained a lot of researchers' attention because it is a valuable topic to enable the FER techniques to move from the laboratory to the real applications. In this paper, we focus on this cha
Externí odkaz:
http://arxiv.org/abs/2008.05924
Autor:
Zhang, Yuqiao, Qi, Weiyi, Chu, Guangyu, Wang, Qianzhi, Gao, Chang, Chen, Wenzheng, Liu, Jiateng, Gao, Mengchun
Publikováno v:
In Bioresource Technology November 2023 388
