Scholar
Vy Ai Vo
Google Scholar ID: wBjwb8IAAAAJ
AI Scientist, Thomson Reuters Labs (PhD in Computational Neuroscience)
Citations & Impact
Citations
933
H-index
18
i10-index
21
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- 02/2025: arXiv preprinted. Position piece on how episodic memory can advance research on LLM agents.
- 12/2024: Scientific Data, published. The 'Naturalistic Free Recall' Dataset: four stories, hundreds of participants, and high-fidelity transcriptions.
- 10/2024: arXiv preprinted. Report on our Sequence Order Recall Task (SORT), a benchmark to evaluate long-term memory behavior in LLMs. We release data and code.
- 09/2024: IEEE High Performance Extreme Computing, presented. Outstanding paper award for Monocoder: Domain-specific code language model for HPC Codes and Tasks.
Research Experience
- Recently left my research scientist role at Intel Labs to pursue other projects, both in machine learning and cognitive neuroscience. Previously, I spent 5 years working in AI/ML in the Brain-Inspired Computing Lab at Intel Labs, most recently on vector similarity search, RAG, and LLM code generation.
Background
- Interests: At the intersection of computer science, neuroscience, and cognitive science; particularly in the computational underpinnings of intelligent behavior, especially in the use of memory and attention.
Co-authors