no code implementations • *SEM (NAACL) 2022 • Zheng Qi, Elior Sulem, Haoyu Wang, Xiaodong Yu, Dan Roth
We address this task as a pipeline, first predicting whether two granular events mentioned in the text belong to the same complex event, independently of their position in the text, and then using this to cluster them into complex events.
no code implementations • 30 Apr 2024 • Robert Vacareanu, Anurag Pratik, Evangelia Spiliopoulou, Zheng Qi, Giovanni Paolini, Neha Anna John, Jie Ma, Yassine Benajiba, Miguel Ballesteros
Many of the recent capabilities demonstrated by Large Language Models (LLMs) arise primarily from their ability to exploit contextual information.
no code implementations • 12 Jan 2023 • Zheng Qi, AprilPyone MaungMaung, Hitoshi Kiya
In recent years, with the development of cloud computing platforms, privacy-preserving methods for deep learning have become an urgent problem.
no code implementations • 4 Aug 2022 • Zheng Qi, AprilPyone MaungMaung, Hitoshi Kiya
In this paper, we propose a privacy-preserving image classification method using encrypted images under the use of the ConvMixer structure.
no code implementations • 24 May 2022 • Zheng Qi, AprilPyone MaungMaung, Yuma Kinoshita, Hitoshi Kiya
In this paper, we propose a privacy-preserving image classification method that is based on the combined use of encrypted images and the vision transformer (ViT).
1 code implementation • ACL 2021 • Sayan Ghosh, Zheng Qi, Snigdha Chaturvedi, Shashank Srivastava
Many approaches to this problem use Reinforcement Learning (RL), which maximizes a single manually defined reward, such as BLEU.