Scholar
Neeraj Varshney
Google Scholar ID: Ju9nR0IAAAAJ
Applied Scientist at Amazon
Citations & Impact
Citations
2,040
H-index
16
i10-index
22
Publications
20
Co-authors
20
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Published multiple papers in the field of NLP, including EMNLP 2024, ACL 2024, NAACL 2024 Findings, etc.; received several awards such as Outstanding CS PhD Graduating Student, SCAI Doctoral Fellowship, GPSA Outstanding Research Award, etc.
Research Experience
- Applied Scientist at Amazon; NLP Research Internship at Tencent AI, Bellevue; presented papers at multiple international conferences.
Education
- Ph.D. in Natural Language Processing from Arizona State University (ASU), Thesis: 'Addressing Efficiency and Reliability Challenges in Natural Language Processing'
Background
- Research interests include mitigating hallucinations of LLMs, efficient decoding, instruction tuning, question answering, inference efficiency, text generation, defense strategies, selective prediction, training sample efficiency, large language models, and retrieval augmented inference.
Miscellany
- Selected as an Outstanding Reviewer for EACL 2023 (Question Answering Track).
