Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model

1 code implementation • ACL 2019 • Alexander R. Fabbri, Irene Li, Tianwei She, Suyi Li, Dragomir R. Radev

Automatic generation of summaries from multiple news articles is a valuable tool as the number of online publications grows rapidly.

Document Summarization Extractive Summarization +1

SParC: Cross-Domain Semantic Parsing in Context

4 code implementations • ACL 2019 • Tao Yu, Rui Zhang, Michihiro Yasunaga, Yi Chern Tan, Xi Victoria Lin, Suyi Li, Heyang Er, Irene Li, Bo Pang, Tao Chen, Emily Ji, Shreya Dixit, David Proctor, Sungrok Shim, Jonathan Kraft, Vincent Zhang, Caiming Xiong, Richard Socher, Dragomir Radev

The best model obtains an exact match accuracy of 20. 2% over all questions and less than10% over all interaction sequences, indicating that the cross-domain setting and the con-textual phenomena of the dataset present significant challenges for future research.

Semantic Parsing Text-To-SQL

CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases

3 code implementations • IJCNLP 2019 • Tao Yu, Rui Zhang, He Yang Er, Suyi Li, Eric Xue, Bo Pang, Xi Victoria Lin, Yi Chern Tan, Tianze Shi, Zihan Li, Youxuan Jiang, Michihiro Yasunaga, Sungrok Shim, Tao Chen, Alexander Fabbri, Zifan Li, Luyao Chen, Yuwen Zhang, Shreya Dixit, Vincent Zhang, Caiming Xiong, Richard Socher, Walter S. Lasecki, Dragomir Radev

We present CoSQL, a corpus for building cross-domain, general-purpose database (DB) querying dialogue systems.

Dialogue State Tracking Response Generation +1

Abnormal Client Behavior Detection in Federated Learning

no code implementations • 22 Oct 2019 • Suyi Li, Yong Cheng, Yang Liu, Wei Wang, Tianjian Chen

In federated learning systems, clients are autonomous in that their behaviors are not fully governed by the server.

Anomaly Detection Federated Learning +1

Learning to Detect Malicious Clients for Robust Federated Learning

no code implementations • 1 Feb 2020 • Suyi Li, Yong Cheng, Wei Wang, Yang Liu, Tianjian Chen

Federated learning systems are vulnerable to attacks from malicious clients.

Federated Learning Image Classification +2

Building Intelligence in the Mechanical Domain -- Harvesting the Reservoir Computing Power in Origami to Achieve Information Perception Tasks

no code implementations • 10 Feb 2023 • Jun Wang, Suyi Li

In this paper, we experimentally examine the cognitive capability of a simple, paper-based Miura-ori -- using the physical reservoir computing framework -- to achieve different information perception tasks.