Zobrazeno 1 - 10
of 8 244
pro vyhledávání: '"Chang, Kai"'
Autor:
Huang, Chien-yu, Chen, Wei-Chih, Yang, Shu-wen, Liu, Andy T., Li, Chen-An, Lin, Yu-Xiang, Tseng, Wei-Cheng, Diwan, Anuj, Shih, Yi-Jen, Shi, Jiatong, Chen, William, Chen, Xuanjun, Hsiao, Chi-Yuan, Peng, Puyuan, Wang, Shih-Heng, Kuan, Chun-Yi, Lu, Ke-Han, Chang, Kai-Wei, Yang, Chih-Kai, Ritter-Gutierrez, Fabian, Chuang, Ming To, Huang, Kuan-Po, Arora, Siddhant, Lin, You-Kuan, Yeo, Eunjung, Chang, Kalvin, Chien, Chung-Ming, Choi, Kwanghee, Hsieh, Cheng-Hsiu, Lin, Yi-Cheng, Yu, Chee-En, Chiu, I-Hsiang, Guimarães, Heitor R., Han, Jionghao, Lin, Tzu-Quan, Lin, Tzu-Yuan, Chang, Homu, Chang, Ting-Wu, Chen, Chun Wei, Chen, Shou-Jen, Chen, Yu-Hua, Cheng, Hsi-Chun, Dhawan, Kunal, Fang, Jia-Lin, Fang, Shi-Xin, Chiang, Kuan-Yu Fang, Fu, Chi An, Hsiao, Hsien-Fu, Hsu, Ching Yu, Huang, Shao-Syuan, Wei, Lee Chen, Lin, Hsi-Che, Lin, Hsuan-Hao, Lin, Hsuan-Ting, Lin, Jian-Ren, Liu, Ting-Chun, Lu, Li-Chun, Pai, Tsung-Min, Pasad, Ankita, Kuan, Shih-Yun Shan, Shon, Suwon, Tang, Yuxun, Tsai, Yun-Shao, Wei, Jui-Chiang, Wei, Tzu-Chieh, Wu, Chengxi, Wu, Dien-Ruei, Yang, Chao-Han Huck, Yang, Chieh-Chi, Yip, Jia Qi, Yuan, Shao-Xiang, Noroozi, Vahid, Chen, Zhehuai, Wu, Haibin, Livescu, Karen, Harwath, David, Watanabe, Shinji, Lee, Hung-yi
Multimodal foundation models, such as Gemini and ChatGPT, have revolutionized human-machine interactions by seamlessly integrating various forms of data. Developing a universal spoken language model that comprehends a wide range of natural language i
Externí odkaz:
http://arxiv.org/abs/2411.05361
Autor:
Hong, Yining, Liu, Beide, Wu, Maxine, Zhai, Yuanhao, Chang, Kai-Wei, Li, Linjie, Lin, Kevin, Lin, Chung-Ching, Wang, Jianfeng, Yang, Zhengyuan, Wu, Yingnian, Wang, Lijuan
Human beings are endowed with a complementary learning system, which bridges the slow learning of general world dynamics with fast storage of episodic memory from a new experience. Previous video generation models, however, primarily focus on slow le
Externí odkaz:
http://arxiv.org/abs/2410.23277
Autor:
Bu, Zhiqi, Jin, Xiaomeng, Vinzamuri, Bhanukiran, Ramakrishna, Anil, Chang, Kai-Wei, Cevher, Volkan, Hong, Mingyi
Machine unlearning has been used to remove unwanted knowledge acquired by large language models (LLMs). In this paper, we examine machine unlearning from an optimization perspective, framing it as a regularized multi-task optimization problem, where
Externí odkaz:
http://arxiv.org/abs/2410.22086
Autor:
Li, Zhecheng, Wang, Yiwei, Hooi, Bryan, Cai, Yujun, Cheung, Naifan, Peng, Nanyun, Chang, Kai-wei
Cross-lingual summarization (CLS) aims to generate a summary for the source text in a different target language. Currently, instruction-tuned large language models (LLMs) excel at various English tasks. However, unlike languages such as English, Chin
Externí odkaz:
http://arxiv.org/abs/2410.20021
Autor:
Li, Zhecheng, Wang, Yiwei, Hooi, Bryan, Cai, Yujun, Xiong, Zhen, Peng, Nanyun, Chang, Kai-wei
Text classification involves categorizing a given text, such as determining its sentiment or identifying harmful content. With the advancement of large language models (LLMs), these models have become highly effective at performing text classificatio
Externí odkaz:
http://arxiv.org/abs/2410.20016
Autor:
Parekh, Tanmay, Kwan, Jeffrey, Yu, Jiarui, Johri, Sparsh, Ahn, Hyosang, Muppalla, Sreya, Chang, Kai-Wei, Wang, Wei, Peng, Nanyun
Social media is often the first place where communities discuss the latest societal trends. Prior works have utilized this platform to extract epidemic-related information (e.g. infections, preventive measures) to provide early warnings for epidemic
Externí odkaz:
http://arxiv.org/abs/2410.18393
Autor:
Fang, Qian, Wang, Liming, Chang, Kai, Yang, Hongxin, Yan, Pu, Cao, Kecheng, Li, Mian, Chai, Zhifang, Huang, Qing
Two-dimensional (2D) magnetic semiconductors are a key focus in developing next-generation information storage technologies. MXenes, as emerging 2D early transition metal carbides and nitrides, offer versatile compositions and tunable chemical struct
Externí odkaz:
http://arxiv.org/abs/2410.18337
Retrieval-augmented generation (RAG) can supplement large language models (LLMs) by integrating external knowledge. However, as the number of retrieved documents increases, the input length to LLMs grows linearly, causing a dramatic increase in laten
Externí odkaz:
http://arxiv.org/abs/2410.15277
Autoregressive models have demonstrated an unprecedented ability at modeling the intricacies of natural language. However, they continue to struggle with generating complex outputs that adhere to logical constraints. Sampling from a fully-independent
Externí odkaz:
http://arxiv.org/abs/2410.13111
Introducing foreign ions, atoms, or molecules into emerging functional materials is crucial for manipulating material physical properties and innovating device applications. The intercalation of emerging new materials can induce multiple intrinsic ch
Externí odkaz:
http://arxiv.org/abs/2410.10301