Scholar
Pouya Pezeshkpour
Google Scholar ID: sjY8zjUAAAAJ
University of California, Irvine
Citations & Impact
Citations
3,272
H-index
16
i10-index
17
Publications
20
Co-authors
8
list available
Publications
Resume (English only)
Academic Achievements
- Co-organised Explainable Graph-Based Machine Learning workshop at AKBC 2021.
- Co-organised Knowledge Bases and Multiple Modalities workshop at AKBC 2019 and 2020.
- Reviewer at NeurIPS, NAACL (2021), ICLR, AAAI, EMNLP (2020), etc.
- Published 'Mixed Signals: Decoding VLMs' Reasoning and Underlying Bias in Vision-Language Conflict' at EMNLP (Findings) 2025.
- Published 'From Single to Multi: How LLMs Hallucinate in Multi-Document Summarization' at NAACL (Findings) 2025.
Research Experience
- Research Internship at Semantic Machines, Microsoft Research, summer 2021.
- Research Internship at Siri Knowledge group, Apple, summer 2020.
- Research Internship at Allen Institute for Artificial Intelligence, summer 2019.
- Research Internship at Fujitsu Laboratories of America, summer 2018.
- Research Internship at Chinese University of Hong Kong, summer 2014.
Education
- PhD student in Machine Learning at the University of California Irvine, advised by Prof. Sameer Singh.
Background
- Main area of interest includes Natural Language Understanding, Interpretability and Analysis of Models, and Knowledge Representation and Reasoning.
Miscellany
- Was a Research Scientist at Megagon Labs; Volunteer at NeurIPS 2018 and AKBC 2020.
