Scholar
Justin Lovelace
Google Scholar ID: k2CBs3gAAAAJ
PhD Student at Cornell University
Citations & Impact
Citations
338
H-index
7
i10-index
7
Publications
18
Co-authors
0
Publications
Resume
Academic Achievements
- 1. Stop-Think-AutoRegress: Language Modeling with Latent Diffusion Planning (COLM, 2025)
- 2. SpeechOp: Inference-Time Task Composition for Generative Speech Processing (ArXiv Preprint, 2025)
- 3. Pre-training Limited Memory Language Models with Internal and External Knowledge (ArXiv Preprint, 2025)
- 4. Diffusion Guided Language Modeling (ACL Findings, 2024)
- 5. Latent Diffusion for Language Generation (NeurIPS, 2023)
Research Experience
- Currently conducting research on language and speech generation at Cornell University.
Education
- 1. Ph.D. Candidate in Computer Science at Cornell University, Advisor: Prof. Kilian Q. Weinberger.
- 2. M.S. in Language Technologies from Carnegie Mellon University, Advisor: Dr. Carolyn Rosé.
- 3. Undergraduate studies at Texas A&M University, Clinical NLP research, Advisor: Dr. Bobak Mortazavi.
Background
- Research interests: developing diffusion models for language and speech generation, aiming to advance the capabilities and controllability of generative models in these domains. Field: Computer Science.