no code implementations • LREC 2022 • Xintong Wang, Florian Schneider, Özge Alacam, Prateek Chaudhury, Chris Biemann
In this respect, several traditional NLP approaches can assist L2 readers in text comprehension processes, such as simplifying text or giving dictionary descriptions for complex words.
no code implementations • 27 Mar 2024 • Xintong Wang, Jingheng Pan, Liang Ding, Chris Biemann
Our method is inspired by our observation that what we call disturbance instructions significantly exacerbate hallucinations in multimodal fusion modules.
no code implementations • 6 Dec 2023 • Xinzhou Wang, Yikai Wang, Junliang Ye, Zhengyi Wang, Fuchun Sun, Pengkun Liu, Ling Wang, Kai Sun, Xintong Wang, Bin He
Extensive experiments demonstrate the capability of our method in generating high-flexibility text-guided 3D models from the monocular video, while also showing improved reconstruction performance over existing non-rigid reconstruction methods.
no code implementations • 8 Oct 2023 • Xintong Wang, Xiaoyu Li, Xingshan Li, Chris Biemann
Large Language Models (LLMs) have emerged as dominant foundational models in modern NLP.
no code implementations • 25 Apr 2023 • Xiaofei Guan, Xintong Wang, Hao Wu, Zihao Yang, Peng Yu
Simultaneously, the INN is designed to partition the parameter vector linked to the input physical field into two distinct components: the expansion coefficients representing the forward problem solution and the Gaussian latent noise.
no code implementations • 29 Oct 2021 • Zhiguo Wang, Xintong Wang, Ruoyu Sun, Tsung-Hui Chang
Similar to that encountered in federated supervised learning, class distribution of labeled/unlabeled data could be non-i. i. d.
no code implementations • NAACL 2021 • Florian Schneider, {\"O}zge Ala{\c{c}}am, Xintong Wang, Chris Biemann
In primary school, children{'}s books, as well as in modern language learning apps, multi-modal learning strategies like illustrations of terms and phrases are used to support reading comprehension.
no code implementations • 11 Jun 2018 • Jianming Lv, Xintong Wang
Meanwhile, SimPGAN uses the similarity consistency loss, which is measured by a siamese deep convolutional neural network, to preserve the similarity of the transformed images of the same person.
no code implementations • 23 Nov 2016 • Jianming Lv, Qing Li, Xintong Wang
Precise destination prediction of taxi trajectories can benefit many intelligent location based services such as accurate ad for passengers.