activity
20192023
most citedText Readability Assessment for Second Language Learners

141 citations · 217 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CL2023★ 8 cited

Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction

Menglin Xia, Xuchao Zhang, Camille Couturier +3

Large language models (LLMs) enhanced with retrieval augmentation has shown great performance in many applications. However, the computational demands for these models pose a chall…

cs.HC2022

RLens: A Computer-aided Visualization System for Supporting Reflection on Language Learning under Distributed Tutorship

Meng Xia, Yankun Zhao, Jihyeong Hong +3

With the rise of the gig economy, online language tutoring platforms are becoming increasingly popular. These platforms provide temporary and flexible jobs for native speakers as t…

cs.HC2022★ 39 cited

"It Feels Like Taking a Gamble": Exploring Perceptions, Practices, and Challenges of Using Makeup and Cosmetics for People with Visual Impairments

Franklin Mingzhe Li, Franchesca Spektor, Meng Xia +5

Makeup and cosmetics offer the potential for self-expression and the reshaping of social roles for visually impaired people. However, there exist barriers to conducting a beauty re…

cs.HC2022★ 25 cited

Understanding Distributed Tutorship in Online Language Tutoring

Meng Xia, Yankun Zhao, Mehmet Hamza Erol +2

With the rise of the gig economy, online language tutoring platforms are becoming increasingly popular. They provide temporary and flexible jobs for native speakers as tutors and a…

cs.CL2021

Multilingual Neural Semantic Parsing for Low-Resourced Languages

Menglin Xia, Emilio Monti

Multilingual semantic parsing is a cost-effective method that allows a single model to understand different languages. However, researchers face a great imbalance of availability o…

cs.CL2020★ 2 cited

Generating Semantically Valid Adversarial Questions for TableQA

Yi Zhu, Yiwei Zhou, Menglin Xia

Adversarial attack on question answering systems over tabular data (TableQA) can help evaluate to what extent they can understand natural language questions and reason with tables.…