no code implementations • ACL (RepL4NLP) 2021 • Xiaoyan Li, Sun Sun, Yunli Wang
We propose a novel text style transfer algorithm with entangled latent representation, and introduce a style classifier that can regulate the latent structure and transfer style.
no code implementations • 11 Dec 2024 • Wenxuan Sun, Zixuan Yang, Yunli Wang, Zhen Zhang, Zhiqiang Wang, Yu Li, Jian Yang, Yiming Yang, Shiyang Wen, Peng Jiang, Kun Gai
To the best of our knowledge, Adaptive$^2$ is the first approach to automatically learn both domain identification and adaptation in online advertising, opening new research directions for this area.
no code implementations • 25 Nov 2024 • Peng Cui, Yiming Yang, Fusheng Jin, Siyuan Tang, Yunli Wang, Fukang Yang, Yalong Jia, Qingpeng Cai, Fei Pan, Changcheng Li, Peng Jiang
To alleviate the issue of discontinuity in one-hot hard labels, the Bucket Classification Module with label Smoothing method (BCMS) converts one-hot hard labels into non-normalized soft labels, then fits these soft labels by minimizing classification loss and regression loss.
no code implementations • 20 Nov 2024 • Yunli Wang, Zixuan Yang, Zhen Zhang, Zhiqiang Wang, Jian Yang, Shiyang Wen, Peng Jiang, Kun Gai
To the best of our knowledge, this is the first work to study the scaling laws for online advertisement retrieval of real-world systems, showing great potential for scaling law in advertising system optimization.
no code implementations • 3 Sep 2024 • Liqun Yang, Jian Yang, Chaoren Wei, Guanglin Niu, Ge Zhang, Yunli Wang, Linzheng Chai, Wanxu Xia, Hongcheng Guo, Shun Zhang, Jiaheng Liu, Yuwei Yin, Junran Peng, Jiaxin Ma, Liang Sun, Zhoujun Li
In this work, we propose to adopt fine-tuned large language models (FuzzCoder) to learn patterns in the input files from successful attacks to guide future fuzzing explorations.
no code implementations • 16 Oct 2023 • Yunli Wang, Zhiqiang Wang, Jian Yang, Shiyang Wen, Dongying Kong, Han Li, Kun Gai
Concretely, we employ multi-task learning to adaptively combine the optimization of relaxed and full targets, which refers to metrics Recall@m@k and OPA respectively.
1 code implementation • 9 Feb 2022 • Siguang Huang, Yunli Wang, Lili Mou, Huayue Zhang, Han Zhu, Chuan Yu, Bo Zheng
In previous work, researchers have developed several calibration methods to post-process the outputs of a predictor to obtain calibrated values, such as binning and scaling methods.
no code implementations • 3 Mar 2021 • Xun Yang, Yunli Wang, Cheng Chen, Qing Tan, Chuan Yu, Jian Xu, Xiaoqiang Zhu
On the other hand, the response time of these systems is strictly limited to a short period, e. g. 300 milliseconds in our real system, which is also being exhausted by the increasingly complex models and algorithms.
1 code implementation • COLING 2020 • Yunli Wang, Yu Wu, Lili Mou, Zhoujun Li, WenHan Chao
Conventional approaches for formality style transfer borrow models from neural machine translation, which typically requires massive parallel data for training.
no code implementations • 9 Apr 2020 • Dave Carter, Marta Stojanovic, Philip Hachey, Kevin Fournier, Simon Rodier, Yunli Wang, Berry de Bruijn
Global public health surveillance relies on reporting structures and transmission of trustworthy health reports.
no code implementations • IJCNLP 2019 • Yunli Wang, Yu Wu, Lili Mou, Zhoujun Li, WenHan Chao
Formality text style transfer plays an important role in various NLP applications, such as non-native speaker assistants and child education.
no code implementations • COLING 2018 • Yunli Wang, Cyril Goutte
Detecting changes within an unfolding event in real time from news articles or social media enables to react promptly to serious issues in public safety, public health or natural disasters.
3 code implementations • 19 Jun 2018 • Yu Wu, Furu Wei, Shaohan Huang, Yunli Wang, Zhoujun Li, Ming Zhou
Open domain response generation has achieved remarkable progress in recent years, but sometimes yields short and uninformative responses.
no code implementations • WS 2017 • Yunli Wang, Cyril Goutte
Detecting events from social media data has important applications in public security, political issues, and public health.
no code implementations • COLING 2016 • Yunli Wang, Yong Jin, Xiaodan Zhu, Cyril Goutte
We show that such knowledge can be used to construct better discriminative keyphrase extraction systems that do not assume a static, fixed set of keyphrases for a document.