1 code implementation • 15 Mar 2024 • Jiarui Li, Ye Yuan, Zehua Zhang
We proposed an end-to-end system design towards utilizing Retrieval Augmented Generation (RAG) to improve the factual accuracy of Large Language Models (LLMs) for domain-specific and time-sensitive queries related to private knowledge-bases.
1 code implementation • 29 Oct 2023 • Qianren Mao, Shaobo Zhao, Jiarui Li, Xiaolei Gu, Shizhu He, Bo Li, JianXin Li
Pre-trained sentence representations are crucial for identifying significant sentences in unsupervised document extractive summarization.
no code implementations • 17 Oct 2023 • Taejin Kim, Jiarui Li, Shubhranshu Singh, Nikhil Madaan, Carlee Joe-Wong
Our research, initially spurred by test-time evasion attacks, investigates the intersection of adversarial training and backdoor attacks within federated learning, introducing Adversarial Robustness Unhardening (ARU).
1 code implementation • 18 Oct 2022 • Wenxiang Jiao, Zhaopeng Tu, Jiarui Li, Wenxuan Wang, Jen-tse Huang, Shuming Shi
This paper describes Tencent's multilingual machine translation systems for the WMT22 shared task on Large-Scale Machine Translation Evaluation for African Languages.
no code implementations • 4 Feb 2021 • Zhuosheng Zhang, Jiarui Li, Shucheng Yu, Christian Makaya
For model privacy, local model parameters in federated learning shall be obfuscated before sent to the remote aggregator.