activity
20192022
most citedLearning Structural Edits via Incremental Tree Transformations

12 citations · 30 across the 9 of their papers we have counts for

collaborators

14 papers

cs.CL2022

Synthetic Question Value Estimation for Domain Adaptation of Question Answering

Xiang Yue, Ziyu Yao, Huan Sun

Synthesizing QA pairs with a question generator (QG) on the target domain has become a popular approach for domain adaptation of question answering (QA) models. Since synthetic que…

cs.CL202210 cited

DOM-LM: Learning Generalizable Representations for HTML Documents

Xiang Deng, Prashant Shiralkar, Colin Lockard +2

HTML documents are an important medium for disseminating information on the Web for human consumption. An HTML document presents information in multiple text formats including unst…

cs.CL2021

ReasonBERT: Pre-trained to Reason with Distant Supervision

Xiang Deng, Yu Su, Alyssa Lees +3

We present ReasonBert, a pre-training method that augments language models with the ability to reason over long-range relations and multiple, possibly hybrid contexts. Unlike exist…

cs.CL20212 cited

Differential Privacy for Text Analytics via Natural Text Sanitization

Xiang Yue, Minxin Du, Tianhao Wang +3

Texts convey sophisticated knowledge. However, texts also convey sensitive information. Despite the success of general-purpose language models and domain-specific mechanisms with d…

cs.LG202112 cited

Learning Structural Edits via Incremental Tree Transformations

Ziyu Yao, Frank F. Xu, Pengcheng Yin +2

While most neural generative models generate outputs in a single pass, the human creative process is usually one of iterative building and refinement. Recent work has proposed mode…

cs.CL2020

Adversarial Training for Code Retrieval with Question-Description Relevance Regularization

Jie Zhao, Huan Sun

Code retrieval is a key task aiming to match natural and programming languages. In this work, we propose adversarial learning for code retrieval, that is regularized by question-de…