Scholar
Anh Totti Nguyen
Google Scholar ID: EQw8d9AAAAAJ
Associate Professor, Auburn University
Machine Learning
Explainable AI
Computer Vision
NLP
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Citations & Impact
All-time
Citations
9,527
H-index
24
i10-index
35
Publications
20
Co-authors
35
list available
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Publications
11 items
S-Chain: Structured Visual Chain-of-Thought For Medicine
2025
Cited
0
CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling
2025
Cited
0
A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality
2025
Cited
0
B-score: Detecting biases in large language models using response history
2025
Cited
0
Understanding Generative AI Capabilities in Everyday Image Editing Tasks
2025
Cited
0
HoT: Highlighted Chain of Thought for Referencing Supporting Facts from Inputs
2025
Cited
0
ZeroBench: An Impossible Visual Benchmark for Contemporary Large Multimodal Models
2025
Cited
0
Improving Zero-Shot Object-Level Change Detection by Incorporating Visual Correspondence
2025
Cited
0
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Resume (English only)
Academic Achievements
Published multiple papers in top-tier conferences and journals including ICCV, TMLR, WACV, ICML, NAACL, CVPR, EACL, and ACCV.
Selected works include:
- "Vision Language Models are Biased" (2025)
- "TAB: Transformer Attention Bottlenecks enable User Intervention and Debugging in Vision-Language Models" (ICCV 2025)
- "Interpretable LLM-based Table Question Answering" (TMLR 2025)
- "B-score: Detecting biases in large language models using response history" (ICML 2025)
- "Fast and Interpretable Face Identification for Out-Of-Distribution Data Using Vision Transformers" (WACV 2024)
- "PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image Classification Accuracy for AIs and Humans" (TMLR 2024)
- "Vision Language Models Are Blind" (ACCV 2024)
- "PEEB: Part-based Image Classifiers with an Explainable and Editable Language Bottleneck" (NAACL 2024)
- "GlitchBench: Can large multimodal models detect video game glitches?" (CVPR 2024)
- "PiC: A Phrase-in-Context Dataset for Phrase Understanding and Semantic Search" (EACL 2023)
Co-authors
35 total
Jeff Clune
Professor, Comp. Sci.,U British Columbia; CIFAR AI Chair, Vector; Senior Research Advisor, DeepMind
Co-author 2
Mohammad Reza Taesiri
EA Sports
Chirag Agarwal
Assistant Professor, UVA
Long Mai
Research Scientist
Alexey Dosovitskiy
Inceptive
Trung H. Bui
Senior Research Scientist & Research Manager, Adobe Research
Co-author 8
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