activity
20182026
most citedMulti-task Learning for Universal Sentence Embeddings: A Thorough Evaluation using Transfer and Auxiliary Tasks

7 citations · 19 across the 10 of their papers we have counts for

collaborators

10 papers

cs.SE2026

Large Language Models for Multilingual Code Intelligence: A Survey

Chao Jiang, Dugang Liu, Cheng Wen +6

Large language models have transformed AI-assisted software engineering, but current research remains biased toward high-resource languages such as Python, with weaker performance…

cs.CL2024

MedReadMe: A Systematic Study for Fine-grained Sentence Readability in Medical Domain

Chao Jiang, Wei Xu

Medical texts are notoriously challenging to read. Properly measuring their readability is the first step towards making them more accessible. In this paper, we present a systemati…

cs.CL2022

Improving Large-scale Paraphrase Acquisition and Generation

Yao Dou, Chao Jiang, Wei Xu

This paper addresses the quality issues in existing Twitter-based paraphrase datasets, and discusses the necessity of using two separate definitions of paraphrase for identificatio…

cs.CL2022★ 2 cited

Frustratingly Easy Label Projection for Cross-lingual Transfer

Yang Chen, Chao Jiang, Alan Ritter +1

Translating training data into many languages has emerged as a practical solution for improving cross-lingual transfer. For tasks that involve span-level annotations, such as infor…

cs.CL2022★ 1 cited

arXivEdits: Understanding the Human Revision Process in Scientific Writing

Chao Jiang, Wei Xu, Samuel Stevens

Scientific publications are the primary means to communicate research discoveries, where the writing quality is of crucial importance. However, prior work studying the human editin…

cs.CL2021★ 1 cited

Neural semi-Markov CRF for Monolingual Word Alignment

Wuwei Lan, Chao Jiang, Wei Xu

Monolingual word alignment is important for studying fine-grained editing operations (i.e., deletion, addition, and substitution) in text-to-text generation tasks, such as paraphra…