Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Autor: Abdin, Marah, Aneja, Jyoti, Awadalla, Hany, Awadallah, Ahmed, Awan, Ammar Ahmad, Bach, Nguyen, Bahree, Amit, Bakhtiari, Arash, Bao, Jianmin, Behl, Harkirat, Benhaim, Alon, Bilenko, Misha, Bjorck, Johan, Bubeck, Sébastien, Cai, Martin, Cai, Qin, Chaudhary, Vishrav, Chen, Dong, Chen, Dongdong, Chen, Weizhu, Chen, Yen-Chun, Chen, Yi-Ling, Cheng, Hao, Chopra, Parul, Dai, Xiyang, Dixon, Matthew, Eldan, Ronen, Fragoso, Victor, Gao, Jianfeng, Gao, Mei, Gao, Min, Garg, Amit, Del Giorno, Allie, Goswami, Abhishek, Gunasekar, Suriya, Haider, Emman, Hao, Junheng, Hewett, Russell J., Hu, Wenxiang, Huynh, Jamie, Iter, Dan, Jacobs, Sam Ade, Javaheripi, Mojan, Jin, Xin, Karampatziakis, Nikos, Kauffmann, Piero, Khademi, Mahoud, Kim, Dongwoo, Kim, Young Jin, Kurilenko, Lev, Lee, James R., Lee, Yin Tat, Li, Yuanzhi, Li, Yunsheng, Liang, Chen, Liden, Lars, Lin, Xihui, Lin, Zeqi, Liu, Ce, Liu, Liyuan, Liu, Mengchen, Liu, Weishung, Liu, Xiaodong, Luo, Chong, Madan, Piyush, Mahmoudzadeh, Ali, Majercak, David, Mazzola, Matt, Mendes, Caio César Teodoro, Mitra, Arindam, Modi, Hardik, Nguyen, Anh, Norick, Brandon, Patra, Barun, Perez-Becker, Daniel, Portet, Thomas, Pryzant, Reid, Qin, Heyang, Radmilac, Marko, Ren, Liliang, de Rosa, Gustavo, Rosset, Corby, Roy, Sambudha, Ruwase, Olatunji, Saarikivi, Olli, Saied, Amin, Salim, Adil, Santacroce, Michael, Shah, Shital, Shang, Ning, Sharma, Hiteshi, Shen, Yelong, Shukla, Swadheen, Song, Xia, Tanaka, Masahiro, Tupini, Andrea, Vaddamanu, Praneetha, Wang, Chunyu, Wang, Guanhua, Wang, Lijuan, Wang, Shuohang, Wang, Xin, Wang, Yu, Ward, Rachel, Wen, Wen, Witte, Philipp, Wu, Haiping, Wu, Xiaoxia, Wyatt, Michael, Xiao, Bin, Xu, Can, Xu, Jiahang, Xu, Weijian, Xue, Jilong, Yadav, Sonali, Yang, Fan, Yang, Jianwei, Yang, Yifan, Yang, Ziyi, Yu, Donghan, Yuan, Lu, Zhang, Chenruidong, Zhang, Cyril, Zhang, Jianwen, Zhang, Li Lyna, Zhang, Yi, Zhang, Yue, Zhang, Yunan, Zhou, Xiren

We introduce phi-3-mini, a 3.8 billion parameter language model trained on 3.3 trillion tokens, whose overall performance, as measured by both academic benchmarks and internal testing, rivals that of models such as Mixtral 8x7B and GPT-3.5 (e.g., phi

Externí odkaz: http://arxiv.org/abs/2404.14219

Learning from Rich Semantics and Coarse Locations for Long-tailed Object Detection

Autor: Meng, Lingchen, Dai, Xiyang, Yang, Jianwei, Chen, Dongdong, Chen, Yinpeng, Liu, Mengchen, Chen, Yi-Ling, Wu, Zuxuan, Yuan, Lu, Jiang, Yu-Gang

Long-tailed object detection (LTOD) aims to handle the extreme data imbalance in real-world datasets, where many tail classes have scarce instances. One popular strategy is to explore extra data with image-level labels, yet it produces limited result

Externí odkaz: http://arxiv.org/abs/2310.12152

Multi-Objective Optimization Accelerates the De Novo Design of Antimicrobial Peptide for Staphylococcus aureus.

Autor: Yang, Cheng-Hong^1,2,3,4 (AUTHOR) chyang@nkust.edu.tw, Chen, Yi-Ling¹ (AUTHOR) yiling100328@gmail.com, Cheung, Tin-Ho¹ (AUTHOR) f112152195@nkust.edu.tw, Chuang, Li-Yeh⁵ (AUTHOR) chuang@cloud.isu.edu.tw

Publikováno v: International Journal of Molecular Sciences. Dec2024, Vol. 25 Issue 24, p13688. 13p.

i-Code: An Integrative and Composable Multimodal Learning Framework

Autor: Yang, Ziyi, Fang, Yuwei, Zhu, Chenguang, Pryzant, Reid, Chen, Dongdong, Shi, Yu, Xu, Yichong, Qian, Yao, Gao, Mei, Chen, Yi-Ling, Lu, Liyang, Xie, Yujia, Gmyr, Robert, Codella, Noel, Kanda, Naoyuki, Xiao, Bin, Yuan, Lu, Yoshioka, Takuya, Zeng, Michael, Huang, Xuedong

Human intelligence is multimodal; we integrate visual, linguistic, and acoustic signals to maintain a holistic worldview. Most current pretraining methods, however, are limited to one or two modalities. We present i-Code, a self-supervised pretrainin

Externí odkaz: http://arxiv.org/abs/2205.01818

Combined dapagliflozin and roxadustat effectively protected heart and kidney against cardiorenal syndrome-induced damage in rodent through activation of cell stress-Nfr2/ARE signalings and stabilizing HIF-1α

Autor: Sung, Pei-Hsun, Yue, Ya, Chen, Yi-Ling, Chiang, John Y., Cheng, Ben-Chung, Yang, Chih-Chao, Chai, Han-Tan, Yip, Hon-Kan

Publikováno v: In Biomedicine & Pharmacotherapy November 2024 180