Metacognition in children is specific to domain knowledge. - Vy A. Vo; Rosa Li; Nate Kornell; Jessica F. Cantlon (CogSci, 2012)

Approximating Stacked and Bidirectional Recurrent Architectures with the Delayed Recurrent Neural Network. - Javier Turek; Shailee Jain; Vy A. Vo; Mihai Capota; Alexander Huth; Theodore L. Willke (ICML, 2020)

Interpretable multi-timescale models for predicting fMRI responses to continuous natural speech. - Shailee Jain; Vy A. Vo; Shivangi Mahto; Amanda LeBel; Javier S. Turek; Alexander Huth (NeurIPS, 2020)

Multi-timescale Representation Learning in LSTM Language Models. - Shivangi Mahto; Vy Ai Vo; Javier S. Turek; Alexander Huth (ICLR, 2021)

Low-dimensional Structure in the Space of Language Representations is Reflected in Brain Responses. - Richard J. Antonello; Javier S. Turek; Vy Ai Vo; Alexander Huth (NeurIPS, 2021)

Slower is Better: Revisiting the Forgetting Mechanism in LSTM for Slower Information Decay. - Hsiang-Yun Sherry Chien; Javier S. Turek; Nicole Beckage; Vy A. Vo; Christopher J. Honey; Theodore L. Willke (CoRR, 2021)

Memory-Augmented Graph Neural Networks: A Neuroscience Perspective. - Guixiang Ma; Vy A. Vo; Theodore L. Willke; Nesreen K. Ahmed (CoRR, 2022)

Memory in humans and deep language models: Linking hypotheses for model augmentation. - Omri Raccah; Phoebe Chen; Theodore L. Willke; David Poeppel; Vy A. Vo (CoRR, 2022)

Augmenting Recurrent Graph Neural Networks with a Cache. - Guixiang Ma; Vy A. Vo; Theodore L. Willke; Nesreen K. Ahmed (KDD, 2023)

Brain encoding models based on multimodal transformers can transfer across language and vision. - Jerry Tang; Meng Du; Vy A. Vo; Vasudev Lal; Alexander Huth (NeurIPS, 2023)

Scope is all you need: Transforming LLMs for HPC Code. - Tal Kadosh; Niranjan Hasabnis; Vy A. Vo; Nadav Schneider; Neva Krien; Abdul Wasay; Nesreen K. Ahmed; Ted Willke; Guy Tamir; Yuval Pinter; Timothy G. Mattson; Gal Oren 001 (CoRR, 2023)

Domain-Specific Code Language Models: Unraveling the Potential for HPC Codes and Tasks. - Tal Kadosh; Niranjan Hasabnis; Vy A. Vo; Nadav Schneider; Neva Krien; Mihai Capota; Abdul Wasay; Nesreen K. Ahmed; Ted Willke; Guy Tamir; Yuval Pinter; Timothy G. Mattson; et al. (CoRR, 2023)

OMPGPT: A Generative Pre-trained Transformer Model for OpenMP. - Le Chen; Arijit Bhattacharjee; Nesreen K. Ahmed; Niranjan Hasabnis; Gal Oren 001; Vy A. Vo; Ali Jannesari (Euro-Par (1), 2024)

MonoCoder: Domain-Specific Code Language Model for HPC Codes and Tasks. - Tal Kadosh; Niranjan Hasabnis; Vy A. Vo; Nadav Schneider; Neva Krien; Mihai Capota; Abdul Wasay; Guy Tamir; Ted Willke; Nesreen K. Ahmed; Yuval Pinter; Timothy G. Mattson; et al. (HPEC, 2024)

The Landscape and Challenges of HPC Research and LLMs. - Le Chen; Nesreen K. Ahmed; Akash Dutta; Arijit Bhattacharjee; Sixing Yu; Quazi Ishtiaque Mahmud; Waqwoya Abebe; Hung Phan; Aishwarya Sarkar; Branden Butler; Niranjan Hasabnis; Gal Oren 001; et al. (CoRR, 2024)

MPIrigen: MPI Code Generation through Domain-Specific Language Models. - Nadav Schneider; Niranjan Hasabnis; Vy A. Vo; Tal Kadosh; Neva Krien; Mihai Capota; Abdul Wasay; Guy Tamir; Ted Willke; Nesreen K. Ahmed; Yuval Pinter; Timothy G. Mattson; et al. (CoRR, 2024)

OMPar: Automatic Parallelization with AI-Driven Source-to-Source Compilation. - Tal Kadosh; Niranjan Hasabnis; Prema Soundararajan; Vy A. Vo; Mihai Capota; Nesreen K. Ahmed; Yuval Pinter; Gal Oren 001 (CoRR, 2024)

Assessing Episodic Memory in LLMs with Sequence Order Recall Tasks. - Mathis Pink; Vy A. Vo; Qinyuan Wu; Jianing Mu; Javier S. Turek; Uri Hasson; Kenneth A. Norman; Sebastian Michelmann; Alexander Huth; Mariya Toneva (CoRR, 2024)

Toward Optimal Search and Retrieval for RAG. - Alexandria Leto; Cecilia Aguerrebere; Ishwar Singh Bhati; Ted Willke; Mariano Tepper; Vy Ai Vo (CoRR, 2024)

Memory-Augmented Graph Neural Networks: A Brain-Inspired Review. - Guixiang Ma; Vy A. Vo; Theodore L. Willke; Nesreen K. Ahmed (IEEE Trans. Artif. Intell., 2024)

Position: Episodic Memory is the Missing Piece for Long-Term LLM Agents. - Mathis Pink; Qinyuan Wu; Vy Ai Vo; Javier Turek; Jianing Mu; Alexander Huth; Mariya Toneva (CoRR, 2025)