Agents: An Open-source Framework for Autonomous Language Agents

1 code implementation • 14 Sep 2023 • Wangchunshu Zhou, Yuchen Eleanor Jiang, Long Li, Jialong Wu, Tiannan Wang, Shi Qiu, Jintian Zhang, Jing Chen, Ruipu Wu, Shuai Wang, Shiding Zhu, Jiyu Chen, Wentao Zhang, Ningyu Zhang, Huajun Chen, Peng Cui, Mrinmaya Sachan

Recent advances on large language models (LLMs) enable researchers and developers to build autonomous language agents that can automatically solve various tasks and interact with environments, humans, and other agents using natural language interfaces.

Membership Inference Attack in Face of Data Transformations

no code implementations • 29 Sep 2021 • Jiyu Chen, Yiwen Guo, Hao Chen

We demonstrated the effectiveness of our attacks by extensive evaluations on multiple common data transformations and comparison with other state-of-the-art attacks.

Inference Attack Membership Inference Attack

A bag-of-concepts model improves relation extraction in a narrow knowledge domain with limited data

no code implementations • NAACL 2019 • Jiyu Chen, Karin Verspoor, Zenan Zhai

This paper focuses on a traditional relation extraction task in the context of limited annotated data and a narrow knowledge domain.

Feature Engineering Relation Extraction +1

Less is More: Culling the Training Set to Improve Robustness of Deep Neural Networks

no code implementations • 9 Jan 2018 • Yongshuai Liu, Jiyu Chen, Hao Chen

Motivated by recent research that shows outliers in the training set have a high negative influence on the trained model, we studied the relationship between model robustness and the quality of the training set.