Daniel Fried
Scholar

Daniel Fried

Google Scholar ID: sJDqACEAAAAJ
Carnegie Mellon University
Natural Language ProcessingMachine Learning
Citations & Impact
All-time
Citations
8,002
 
H-index
36
 
i10-index
53
 
Publications
20
 
Co-authors
183
list available
Resume (English only)
Academic Achievements
  • Publications: Includes multiple high-impact conference papers such as 'mrCAD: Multimodal Refinement of Computer-aided Designs' (Findings of EMNLP 2025), 'Inducing Programmatic Skills for Agentic Tasks' (COLM 2025). Involved in projects like 'Symbolic Planning and Code Generation for Grounded Dialogue' (EMNLP 2023), 'Grounding Language Models to Images for Multimodal Inputs and Outputs' (ICML 2023).
Research Experience
  • Currently an assistant professor at the Language Technologies Institute, School of Computer Science, Carnegie Mellon University. Previously a postdoc at FAIR Seattle and the University of Washington.
Education
  • Ph.D.: UC Berkeley NLP Group and Berkeley AI Research Lab; M.Phil.: Cambridge Computer Laboratory; B.S.: University of Arizona
Background
  • Research Interests: Natural language processing, particularly enabling people to use language to interact with computers to carry out useful tasks in the world. Focus on pragmatics, viewing language as an action that affects communicative partners in context.
Miscellany
  • Personal Interests: Not explicitly mentioned