activity
20132023
most citedMultilingual Translation with Extensible Multilingual Pretraining and Finetuning

153 citations · 202 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CL2023★ 1 cited

WC-SBERT: Zero-Shot Text Classification via SBERT with Self-Training for Wikipedia Categories

Te-Yu Chi, Yu-Meng Tang, Chia-Wen Lu +2

Our research focuses on solving the zero-shot text classification problem in NLP, with a particular emphasis on innovative self-training strategies. To achieve this objective, we p…

cs.LG2022

Incremental user embedding modeling for personalized text classification

Ruixue Lian, Che-Wei Huang, Yuqing Tang +3

Individual user profiles and interaction histories play a significant role in providing customized experiences in real-world applications such as chatbots, social media, retail, an…

cs.CL2020★ 153 cited

Multilingual Translation with Extensible Multilingual Pretraining and Finetuning

Yuqing Tang, Chau Tran, Xian Li +5

Recent work demonstrates the potential of multilingual pretraining of creating one model that can be used for various tasks in different languages. Previous work in multilingual pr…

cs.CL2020★ 48 cited

Cross-lingual Retrieval for Iterative Self-Supervised Training

Chau Tran, Yuqing Tang, Xian Li +1

Recent studies have demonstrated the cross-lingual alignment ability of multilingual pretrained language models. In this work, we found that the cross-lingual alignment can be furt…

cs.CL2019

Low-Resource Corpus Filtering using Multilingual Sentence Embeddings

Vishrav Chaudhary, Yuqing Tang, Francisco Guzmán +2

In this paper, we describe our submission to the WMT19 low-resource parallel corpus filtering shared task. Our main approach is based on the LASER toolkit (Language-Agnostic SEnten…

cs.AI2013

Reasoning about the Impacts of Information Sharing

Chatschik Bisdikian, Federico Cerutti, Yuqing Tang +1

In this paper we describe a decision process framework allowing an agent to decide what information it should reveal to its neighbours within a communication graph in order to maxi…