Zobrazeno 1 - 10
of 552
pro vyhledávání: '"Lu Zhiyun"'
Autor:
Zhu Xiuwen, Fu Zhigao, Gong Hede, Yakov Kuzyakov, Lu Zhiyun, Zhang Jing, Zhu Xuemei, Hong sisi, Song Qinghai, Zhang Yiping, Wen Handong, Zhou Wenjun
Publikováno v:
Ecological Indicators, Vol 166, Iss , Pp 112429- (2024)
Litter input is a critical link between the circulation and flows of energy and matter in forest ecosystems. Drought events impact litter inputs, affecting forest ecosystems’ nutrient and energy cycles. To investigate the response of litter product
Externí odkaz:
https://doaj.org/article/170af9e79fc14ce6ba5acb547afa0e3c
Autor:
Gunter, Tom, Wang, Zirui, Wang, Chong, Pang, Ruoming, Narayanan, Andy, Zhang, Aonan, Zhang, Bowen, Chen, Chen, Chiu, Chung-Cheng, Qiu, David, Gopinath, Deepak, Yap, Dian Ang, Yin, Dong, Nan, Feng, Weers, Floris, Yin, Guoli, Huang, Haoshuo, Wang, Jianyu, Lu, Jiarui, Peebles, John, Ye, Ke, Lee, Mark, Du, Nan, Chen, Qibin, Keunebroek, Quentin, Wiseman, Sam, Evans, Syd, Lei, Tao, Rathod, Vivek, Kong, Xiang, Du, Xianzhi, Li, Yanghao, Wang, Yongqiang, Gao, Yuan, Ahmed, Zaid, Xu, Zhaoyang, Lu, Zhiyun, Rashid, Al, Jose, Albin Madappally, Doane, Alec, Bencomo, Alfredo, Vanderby, Allison, Hansen, Andrew, Jain, Ankur, Anupama, Anupama Mann, Kamal, Areeba, Wu, Bugu, Brum, Carolina, Maalouf, Charlie, Erdenebileg, Chinguun, Dulhanty, Chris, Moritz, Dominik, Kang, Doug, Jimenez, Eduardo, Ladd, Evan, Shi, Fangping, Bai, Felix, Chu, Frank, Hohman, Fred, Kotek, Hadas, Coleman, Hannah Gillis, Li, Jane, Bigham, Jeffrey, Cao, Jeffery, Lai, Jeff, Cheung, Jessica, Shan, Jiulong, Zhou, Joe, Li, John, Qin, Jun, Singh, Karanjeet, Vega, Karla, Zou, Kelvin, Heckman, Laura, Gardiner, Lauren, Bowler, Margit, Cordell, Maria, Cao, Meng, Hay, Nicole, Shahdadpuri, Nilesh, Godwin, Otto, Dighe, Pranay, Rachapudi, Pushyami, Tantawi, Ramsey, Frigg, Roman, Davarnia, Sam, Shah, Sanskruti, Guha, Saptarshi, Sirovica, Sasha, Ma, Shen, Ma, Shuang, Wang, Simon, Kim, Sulgi, Jayaram, Suma, Shankar, Vaishaal, Paidi, Varsha, Kumar, Vivek, Wang, Xin, Zheng, Xin, Cheng, Walker, Shrager, Yael, Ye, Yang, Tanaka, Yasu, Guo, Yihao, Meng, Yunsong, Luo, Zhao Tang, Ouyang, Zhi, Aygar, Alp, Wan, Alvin, Walkingshaw, Andrew, Lin, Antonie, Farooq, Arsalan, Ramerth, Brent, Reed, Colorado, Bartels, Chris, Chaney, Chris, Riazati, David, Yang, Eric Liang, Feldman, Erin, Hochstrasser, Gabriel, Seguin, Guillaume, Belousova, Irina, Pelemans, Joris, Yang, Karen, Vahid, Keivan Alizadeh, Cao, Liangliang, Najibi, Mahyar, Zuliani, Marco, Horton, Max, Cho, Minsik, Bhendawade, Nikhil, Dong, Patrick, Maj, Piotr, Agrawal, Pulkit, Shan, Qi, Fu, Qichen, Poston, Regan, Xu, Sam, Liu, Shuangning, Rao, Sushma, Heeramun, Tashweena, Merth, Thomas, Rayala, Uday, Cui, Victor, Sridhar, Vivek Rangarajan, Zhang, Wencong, Zhang, Wenqi, Wu, Wentao, Zhou, Xingyu, Liu, Xinwen, Zhao, Yang, Xia, Yin, Ren, Zhile, Ren, Zhongzheng
We present foundation language models developed to power Apple Intelligence features, including a ~3 billion parameter model designed to run efficiently on devices and a large server-based language model designed for Private Cloud Compute. These mode
Externí odkaz:
http://arxiv.org/abs/2407.21075
Autor:
Liu, Aiwei, Bai, Haoping, Lu, Zhiyun, Kong, Xiang, Wang, Simon, Shan, Jiulong, Cao, Meng, Wen, Lijie
Aligning large language models (LLMs) with human expectations without human-annotated preference data is an important problem. In this paper, we propose a method to evaluate the response preference by using the output probabilities of response pairs
Externí odkaz:
http://arxiv.org/abs/2402.11907
Publikováno v:
口腔疾病防治, Vol 26, Iss 9, Pp 598-600 (2018)
Objective To study and analyze the effect of applying the knowledge, attitude/belief, and practice (KAP) nursing mode in caring for patients who receive fixed orthodontic treatment. Methods A total of 112 patients who re⁃ ceived orthodontic treat
Externí odkaz:
https://doaj.org/article/410b380f328e49d2850f74c64336ca7d
Conventional end-to-end Automatic Speech Recognition (ASR) models primarily focus on exact transcription tasks, lacking flexibility for nuanced user interactions. With the advent of Large Language Models (LLMs) in speech processing, more organic, tex
Externí odkaz:
http://arxiv.org/abs/2309.09843
Autor:
Cao, Liangliang, Zhang, Bowen, Chen, Chen, Yang, Yinfei, Du, Xianzhi, Zhang, Wencong, Lu, Zhiyun, Zheng, Yantao
The CLIP (Contrastive Language-Image Pre-training) model and its variants are becoming the de facto backbone in many applications. However, training a CLIP model from hundreds of millions of image-text pairs can be prohibitively expensive. Furthermor
Externí odkaz:
http://arxiv.org/abs/2305.05095
Autor:
Huang, W. Ronny, Chang, Shuo-yiin, Rybach, David, Prabhavalkar, Rohit, Sainath, Tara N., Allauzen, Cyril, Peyser, Cal, Lu, Zhiyun
Improving the performance of end-to-end ASR models on long utterances ranging from minutes to hours in length is an ongoing challenge in speech recognition. A common solution is to segment the audio in advance using a separate voice activity detector
Externí odkaz:
http://arxiv.org/abs/2204.10749
Self-supervised learning of speech representations has achieved impressive results in improving automatic speech recognition (ASR). In this paper, we show that data selection is important for self-supervised learning. We propose a simple and effectiv
Externí odkaz:
http://arxiv.org/abs/2204.01981
Autor:
Xu, Yuanjie, Li, Qingping, Pan, Yinxixue, Wang, Yizhi, Cheng, Xiping, Hu, Xiaowen, Qi, Jinhua, Lu, Zhiyun
Publikováno v:
In Global Ecology and Conservation October 2024 54
Autor:
Lu, Zhiyun, Yang, Jingsui, Xia, Qunke, Lian, Dongyang, Chen, Liangchao, Wu, Weiwei, Wang, Yun
Publikováno v:
In LITHOS October 2024 482-483