Pin-Jie Lin
Scholar

Pin-Jie Lin

Google Scholar ID: KYeOpSoAAAAJ
PhD, Virginia Tech
Natural Language ProcessingLarge Language ModelsEfficient NLP
Citations & Impact
All-time
Citations
56
 
H-index
5
 
i10-index
1
 
Publications
12
 
Co-authors
7
list available
Resume (English only)
Academic Achievements
  • 1. 'Target-Aware Language Modeling via Granular Data Sampling' accepted to EMNLP 2024 Industry Track.
  • 2. 'Exploring the Effectiveness and Consistency of Task Selection in Intermediate-Task Transfer Learning' accepted to ACL 2024 SRW.
  • 3. 'Modeling Orthographic Variation Improves NLP Performance for Nigerian Pidgin' accepted to LREC-COLING 2024.
  • 4. 'Projecting Annotations for Discourse Relations' accepted to CODI @ EACL 2024.
Research Experience
  • Contributed to NLP research on historical archives at Academia Sinica; selected as a Google CSRMP Fellow in 2023.
Education
  • Ph.D. in Computer Science at Virginia Tech, advised by Tu Vu; M.S. in Language Science and Technology from Saarland University, where he worked with Dietrich Klakow and Vera Demberg.
Background
  • Research interests: Developing efficient, modular LLMs for multilingual, multitask, and multimodal deployments through collaborative and communal machine learning. Focuses on efficient model development, parameter-efficient transfer learning, advanced reasoning, instruction tuning, and data-centric methods.
Miscellany
  • Seeking a 2025 internship position.