Trina Dutta Barlow | Springfield College

Trina Dutta Barlow

Trina Dutta Barlow

Assistant Professor of Computer Science
Trina Dutta Barlow head shot
  • Doctor of Philosophy in Computer Science, Florida State University, Tallahassee, Fla., 2025
  • Master of Science in Computer Science, Florida State University, Tallahassee, Fla., 2021
  • Master of Science in Computer Science, St. Xavier's College, Kolkata, WB, India, 2019
  • Bachelor of Science in Computer Science, St. Xavier's College, Kolkata, WB, India, 2017

During her doctoral studies, Trina Dutta Barlow worked on multiple projects, including the development of a pipeline for detecting and localizing hallucinations in abstractive summarization, a novel neuro-symbolic system aimed at enhancing logical reasoning in LLMs and a novel intervention technique designed to reduce hallucinations in abstractive summary generation. Her work has contributed to advancing the reliability of AI-generated content through fine-tuned models, semantic matching techniques, and intervention strategies.

Research Interests
  • Deep Learning
  • Natural Language Processing
  • Object Recognition
  • Neuro-symbolic Artificial Intelligence (AI)
  • Logic Reasoning in Large Language Models
  • Quantum Machine Learning
  • AI Agents
Courses Taught
  • Introduction to Computer Science with C++
  • Python Programming
  • Advance Python Programming
  • Deep Learning Fundamentals
Certifications and Memberships
  • International Joint Conference on Neural Networks

Selected Works

Publications

  • "FaCTQA:Detecting and Localizing Factual Errors in Generated Summaries Through Question and Answering from Heterogeneous Models," 2024 International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan, 2024, pp. 1-8, doi: 10.1109/IJCNN60899.2024.10650810, URL: https://ieeexplore.ieee.org/abstract/document/10650810
  • "ILENS: Iterative Logical Enhancement via Neurosymbolic Computation and Common Sense", Submitted to ACL Rolling Reviews - June 2024, URL: https://openreview.net/forum?id=XJEmvFwrkT