Matthew R. Gormley
Scholar

Matthew R. Gormley

Google Scholar ID: GU0SZmYAAAAJ
Carnegie Mellon University
Natural Language ProcessingMachine Learning
Citations & Impact
All-time
Citations
1,555
 
H-index
19
 
i10-index
24
 
Publications
20
 
Co-authors
44
list available
Resume (English only)
Academic Achievements
  • 2025: Published 'Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning' at COMPASS
  • 2025: Co-authored 'In-Context Learning with Long-Context Models: An In-Depth Exploration', accepted to NAACL
  • 2025: Published teaching-focused paper 'Larger than Life In-Class Demonstrations for Introductory Machine Learning' at SIGCSE
  • 2024: Contributed to 'A Taxonomy for Data Contamination in Large Language Models', presented at CONDA @ ACL
  • 2024: Released preprint 'Improving Autoregressive Training with Dynamic Oracles'
  • 2024: Paper 'Learning Mutually Informed Representations for Characters and Subwords' accepted to NAACL Findings
  • 2023: Co-authored 'Unlimiformer: Long-Range Transformers with Unlimited Length Input', published at NeurIPS
  • 2023: Co-developed medical text dataset MDACE, published at ACL
  • 2023: Participated in SummQA project for medical summarization, presented at Clinical NLP Workshop at ACL 2023
  • 2022: Paper 'He Said, She Said: Style Transfer for Shifting the Perspective of Dialogues' accepted to Findings of EMNLP
  • 2022: Contributed to 'Revisiting text decomposition methods for NLI-based factuality scoring of summaries', presented at GEM Workshop at EMNLP