no code implementations • 7 Aug 2024 • Haoran Xu, Ziqian Liu, Rong Fu, Zhongling Su, Zerui Wang, Zheng Cai, Zhilin Pei, Xingcheng Zhang
With the evolution of large language models, traditional Transformer models become computationally demanding for lengthy sequences due to the quadratic growth in computation with respect to the sequence length.
3 code implementations • 26 Mar 2024 • Zheng Cai, Maosong Cao, Haojiong Chen, Kai Chen, Keyu Chen, Xin Chen, Xun Chen, Zehui Chen, Zhi Chen, Pei Chu, Xiaoyi Dong, Haodong Duan, Qi Fan, Zhaoye Fei, Yang Gao, Jiaye Ge, Chenya Gu, Yuzhe Gu, Tao Gui, Aijia Guo, Qipeng Guo, Conghui He, Yingfan Hu, Ting Huang, Tao Jiang, Penglong Jiao, Zhenjiang Jin, Zhikai Lei, Jiaxing Li, Jingwen Li, Linyang Li, Shuaibin Li, Wei Li, Yining Li, Hongwei Liu, Jiangning Liu, Jiawei Hong, Kaiwen Liu, Kuikun Liu, Xiaoran Liu, Chengqi Lv, Haijun Lv, Kai Lv, Li Ma, Runyuan Ma, Zerun Ma, Wenchang Ning, Linke Ouyang, Jiantao Qiu, Yuan Qu, FuKai Shang, Yunfan Shao, Demin Song, Zifan Song, Zhihao Sui, Peng Sun, Yu Sun, Huanze Tang, Bin Wang, Guoteng Wang, Jiaqi Wang, Jiayu Wang, Rui Wang, Yudong Wang, Ziyi Wang, Xingjian Wei, Qizhen Weng, Fan Wu, Yingtong Xiong, Chao Xu, Ruiliang Xu, Hang Yan, Yirong Yan, Xiaogui Yang, Haochen Ye, Huaiyuan Ying, JIA YU, Jing Yu, Yuhang Zang, Chuyu Zhang, Li Zhang, Pan Zhang, Peng Zhang, Ruijie Zhang, Shuo Zhang, Songyang Zhang, Wenjian Zhang, Wenwei Zhang, Xingcheng Zhang, Xinyue Zhang, Hui Zhao, Qian Zhao, Xiaomeng Zhao, Fengzhe Zhou, Zaida Zhou, Jingming Zhuo, Yicheng Zou, Xipeng Qiu, Yu Qiao, Dahua Lin
The evolution of Large Language Models (LLMs) like ChatGPT and GPT-4 has sparked discussions on the advent of Artificial General Intelligence (AGI).
Ranked #5 on
Long-Context Understanding
on Ada-LEval (BestAnswer)
no code implementations • 29 Jan 2024 • Zhihua Zhu, Zheng Cai, Liang Zheng, Nian Si
Two-sided platforms are central to modern commerce and content sharing and often utilize A/B testing for developing new features.
no code implementations • 10 Feb 2023 • Yongkang Guo, Yuan Yuan, Jinshan Zhang, Yuqing Kong, Zhihua Zhu, Zheng Cai
A/B testing, or controlled experiments, is the gold standard approach to causally compare the performance of algorithms on online platforms.
no code implementations • 11 Jul 2022 • Zhaohua Chen, Chang Wang, Qian Wang, Yuqi Pan, Zhuming Shi, Zheng Cai, Yukun Ren, Zhihua Zhu, Xiaotie Deng
Among various budget control methods, throttling has emerged as a popular choice, managing an advertiser's total expenditure by selecting only a subset of auctions to participate in.
no code implementations • 24 Feb 2021 • Zihao Li, Benjamin Horowitz, Zheng Cai
In this work, we propose an improved approach to reconstruct the three-dimensional intergalactic medium from observed Lyman-$\alpha$ forest absorption features.
Astrophysics of Galaxies
no code implementations • LREC 2020 • Julia Bonn, Martha Palmer, Zheng Cai, Kristin Wright-Bettner
This paper presents an expansion to the Abstract Meaning Representation (AMR) annotation schema that captures fine-grained semantically and pragmatically derived spatial information in grounded corpora.
1 code implementation • ACL 2019 • Falcon Z. Dai, Zheng Cai
We show that the imperceptibility of several existing linguistic steganographic systems (Fang et al., 2017; Yang et al., 2018) relies on implicit assumptions on statistical behaviors of fluent text.
1 code implementation • 14 Sep 2017 • David Parks, J. Xavier Prochaska, Shawfeng Dong, Zheng Cai
Testing on a held-back validation set demonstrates a high incidence of DLAs recovered by the algorithm (97. 4% as DLAs and 99% as an HI absorber with log NHI > 19. 5) and excellent estimates for zabs and NHI.
Astrophysics of Galaxies
1 code implementation • WS 2017 • Falcon Z. Dai, Zheng Cai
Given the advantage and recent success of English character-level and subword-unit models in several NLP tasks, we consider the equivalent modeling problem for Chinese.
no code implementations • ACL 2017 • Zheng Cai, Lifu Tu, Kevin Gimpel
We consider the ROC story cloze task (Mostafazadeh et al., 2016) and present several findings.
no code implementations • 2 Jun 2015 • Zheng Cai, Donglin Cao, Rongrong Ji
However, GIF sentiment analysis is quite challenging, not only because it hinges on spatio-temporal visual contentabstraction, but also for the relationship between such abstraction and final sentiment remains unknown. In this paper, we dedicated to find out such relationship. We proposed a SentiPairSequence basedspatiotemporal visual sentiment ontology, which forms the midlevel representations for GIFsentiment.