Scholar
Nan Zhang
Google Scholar ID: PDuBGKYAAAAJ
Ph.D. Student, Pennsylvania State University
Citations & Impact
Citations
442
H-index
8
i10-index
7
Publications
14
Co-authors
14
list available
Publications
Resume (English only)
Academic Achievements
- - Paper 'When Reasoning Meets Compression: Benchmarking Compressed Large Reasoning Models on Complex Reasoning Tasks' online, 2025.
- - Paper 'SiReRAG: Indexing Similar and Related Information for Multihop Reasoning' accepted by ICLR 2025 and presented during Poster Session 1 (#61 at Hall 3 + Hall 2B).
- - Paper 'LLMs assist NLP Researchers: Critique Paper (Meta-) Reviewing' accepted to EMNLP 2024.
- - Paper 'When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs' accepted to TACL 2024.
- - Paper 'Evaluating LLMs at Detecting Errors in LLM Responses' accepted to COLM 2024.
- - Paper 'Pruning as a Domain-specific LLM Extractor' accepted to NAACL Findings 2024.
Research Experience
- - LLMs Compression (e.g., pruning and quantization)
- - RAG
Education
- - Ph.D. in Informatics, 2020 - Present, The Pennsylvania State University, Advisors: Dr. Rui Zhang and Dr. Prasenjit Mitra
- - MS in Computational Science and Engineering, 2020, Georgia Institute of Technology
- - BS in Computer Science & Industrial Engineering (double major), 2017, Worcester Polytechnic Institute
Background
- Nan Zhang is a Ph.D. student in the College of Information Sciences and Technology at The Pennsylvania State University. His research interests include natural language processing (NLP), clinical NLP, and machine learning. He is currently working on LLM compression (e.g., pruning and quantization) and RAG.
