G M Shahariar
Scholar

G M Shahariar

Google Scholar ID: GBaSF7MAAAAJ
University of California, Riverside
Natural Language ProcessingLarge Language ModelsAI SafetyVision Language Models
Citations & Impact
All-time
Citations
224
 
H-index
7
 
i10-index
3
 
Publications
20
 
Co-authors
13
list available
Resume (English only)
Academic Achievements
  • Sep 2024: Paper 'Adversarial Attack on POS Tags in T2I models' accepted to EMNLP 2024 Findings
  • May 2024: 'Ben-Sarc' published in Natural Language Processing
  • Apr 2024: 'BFRD' published in Neurocomputing
  • Jan 2024: 'Noise Reduction Methods on Noisy Bengali Texts' accepted to W-NUT 2024 (collocated with EACL 2024)
  • Nov 2023: One undergraduate thesis group paper accepted at ICCIT 2023
  • Jul 2023: 'CLAA' accepted at ASE 2023
  • Oct 2023: Supervising three undergraduate thesis groups
Background
  • Second-year PhD student in the Department of Computer Science and Engineering at the University of California, Riverside
  • Currently researching safety and security in generative AI models
  • Research interests include NLP, reasoning, MLLMs, and AI safety
  • Past research focused on low-resource NLP, including natural language generation, summarization, question answering (QA), and interpretability of language models
  • Applied NLP techniques to specific software engineering (SE) tasks
  • Career aspiration is to work in leading AI research laboratories