VLSP 2021 - ViMRC Challenge: Vietnamese Machine Reading Comprehension. - Kiet Van Nguyen; Son Quoc Tran; Luan Thanh Nguyen; Tin Van Huynh; Son T. Luu; Ngan Luu-Thuy Nguyen (CoRR, 2022)

The Impacts of Unanswerable Questions on the Robustness of Machine Reading Comprehension Models. - Son Quoc Tran; Phong Nguyen-Thuan Do; Uyen Le; Matt Kretchmar (EACL, 2023)

Revealing Weaknesses of Vietnamese Language Models Through Unanswerable Questions in Machine Reading Comprehension. - Son Quoc Tran; Phong Nguyen-Thuan Do; Kiet Van Nguyen; Ngan Luu-Thuy Nguyen (EACL (Student Research Workshop), 2023)

AGent: A Novel Pipeline for Automatically Creating Unanswerable Questions. - Son Quoc Tran; Gia-Huy Do; Phong Nguyen-Thuan Do; Matt Kretchmar; Xinya Du (CoRR, 2023)

MEQA: A Benchmark for Multi-hop Event-centric Question Answering with Explanations. - Ruosen Li; Zimu Wang; Son Quoc Tran; Lei Xia 004; Xinya Du (NeurIPS, 2024)

VLUE: A New Benchmark and Multi-task Knowledge Transfer Learning for Vietnamese Natural Language Understanding. - Phong Nguyen-Thuan Do; Son Quoc Tran; Phu Gia Hoang; Kiet Van Nguyen; Ngan Luu-Thuy Nguyen (CoRR, 2024)

Towards Robust Extractive Question Answering Models: Rethinking the Training Methodology. - Son Quoc Tran; Matt Kretchmar (CoRR, 2024)

Conversations Gone Awry, But Then? Evaluating Conversational Forecasting Models. - Son Quoc Tran; Tushaar Gangavarapu; Nicholas Chernogor; Jonathan P. Chang; Cristian Danescu-Niculescu-Mizil (CoRR, 2025)