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Publications
Full list on Google Scholar.
2026
2026
Prototype Language Models. Dan Ley, Giang Nguyen, Himabindu Lakkaraju, Julius Adebayo. Preprint coming soon.
[blog]
2026
Scaling Interpretable Language Models to 8 Billion Parameters. Guide Labs Team. Preprint coming soon.
[blog]
2025
TMLR 2025
Interpretable LLM-based Table Question Answering. Nguyen, G., Brugere, I., Sharma, S., Kariyappa, S., Nguyen, A.T., Lecue, F.
[pdf]
[openreview]
2024
ICLR & TMLR 2024
PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image Classification Accuracy for AIs and Humans. Nguyen, G., Chen, V., Taesiri, M.R., Nguyen, A.
[pdf]
[arXiv]
ICLR cert. (top ~6% of TMLR papers)
CVPRW 2024
Allowing Humans to Interactively Guide Machines Where to Look Does Not Always Improve a Human-AI Team's Classification Accuracy. Nguyen, G., Taesiri, M.R., Kim, S.S., Nguyen, A.
[pdf]
2023
NeurIPS 2023
ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial Biases in Image Classification. Taesiri, M.R., Nguyen, G., Habchi, S., Bezemer, C., Nguyen, A.
[pdf]
2022
NeurIPS 2022
Visual Correspondence-based Explanations Improve AI Robustness and Human-AI Team Accuracy. Nguyen, G.*, Taesiri, M.R.*, Nguyen, A. (*equal contribution)
[pdf]
[openreview]
2021
NeurIPS 2021
The Effectiveness of Feature Attribution Methods and Its Correlation with Automatic Evaluation Scores. Nguyen, G., Kim, D., Nguyen, A.
[pdf]
2020
ICPR 2020
Explaining How Deep Neural Networks Forget by Deep Visualization. Nguyen, G., Chen, S., Jun, T.J., Kim, D.
[pdf]
[arXiv]