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.