Revisiting Sample Size Determination in Natural Language Understanding. - Ernie Chang; Muhammad Hassan Rashid; Pin-Jie Lin; Changsheng Zhao 002; Vera Demberg; Yangyang Shi; Vikas Chandra (ACL (Findings), 2023)

Low-Resource Cross-Lingual Adaptive Training for Nigerian Pidgin. - Pin-Jie Lin; Muhammed Saeed; Ernie Chang; Merel C. J. Scholman (INTERSPEECH, 2023)

Exploring the Effectiveness and Consistency of Task Selection in Intermediate-Task Transfer Learning. - Pin-Jie Lin; Miaoran Zhang; Marius Mosbach; Dietrich Klakow (ACL (Student Research Workshop), 2024)

Modeling Orthographic Variation Improves NLP Performance for Nigerian Pidgin. - Pin-Jie Lin; Merel C. J. Scholman; Muhammed Saeed; Vera Demberg (LREC/COLING, 2024)

Target-Aware Language Modeling via Granular Data Sampling. - Ernie Chang; Pin-Jie Lin; Yang Li 183; Changsheng Zhao 002; Daeil Kim; Rastislav Rabatin; Zechun Liu; Yangyang Shi; Vikas Chandra (EMNLP, 2024)

Scaling Parameter-Constrained Language Models with Quality Data. - Ernie Chang; Matteo Paltenghi; Yang Li 183; Pin-Jie Lin; Changsheng Zhao 002; Patrick Huber; Zechun Liu; Rastislav Rabatin; Yangyang Shi; Vikas Chandra (EMNLP (Industry Track), 2024)

In-Context Prompt Editing for Conditional Audio Generation. - Ernie Chang; Pin-Jie Lin; Yang Li 183; Sidd Srinivasan; Gaël Le Lan; David Kant; Yangyang Shi; Forrest N. Iandola; Vikas Chandra (ICASSP, 2024)

On the Open Prompt Challenge in Conditional Audio Generation. - Ernie Chang; Sidd Srinivasan; Mahi Luthra; Pin-Jie Lin; Varun Nagaraja; Forrest N. Iandola; Zechun Liu; Zhaoheng Ni; Changsheng Zhao 002; Yangyang Shi; Vikas Chandra (ICASSP, 2024)

Self-Vocabularizing Training for Neural Machine Translation. - Pin-Jie Lin; Ernie Chang; Yangyang Shi; Vikas Chandra (NAACL (Student Research Workshop), 2025)

Efficient Model Development through Fine-tuning Transfer. - Pin-Jie Lin; Rishab Balasubramanian; Fengyuan Liu; Nikhil Kandpal; Tu Vu (CoRR, 2025)