9 citations · 25 across the 19 of their papers we have counts for
8 papers · 1 filter
POW: Political Overton Windows of Large Language Models
Leif Azzopardi, Yashar Moshfeghi
Political bias in Large Language Models (LLMs) presents a growing concern for the responsible deployment of AI systems. Traditional audits often attempt to locate a model's politic…
Covariance Density Neural Networks
Om Roy, Yashar Moshfeghi, Keith Smith
Graph neural networks have re-defined how we model and predict on network data but there lacks a consensus on choosing the correct underlying graph structure on which to model sign…
On Error Classification from Physiological Signals within Airborne Environment
Niall McGuire, Yashar Moshfeghi
Human error remains a critical concern in aviation safety, contributing to 70-80% of accidents despite technological advancements. While physiological measures show promise for err…
Brain-Machine Interfaces & Information Retrieval Challenges and Opportunities
Yashar Moshfeghi, Niall McGuire
The fundamental goal of Information Retrieval (IR) systems lies in their capacity to effectively satisfy human information needs - a challenge that encompasses not just the technic…
A Hodge-FAST Framework for High-Resolution Dynamic Functional Connectivity Analysis of Higher Order Interactions in EEG Signals
Om Roy, Yashar Moshfeghi, Jason Smith +3
We introduce a novel framework that integrates Hodge decomposition with Filtered Average Short-Term (FAST) functional connectivity to analyze dynamic functional connectivity (DFC)…
On Creating A Brain-To-Text Decoder
Zenon Lamprou, Yashar Moshfeghi
Brain decoding has emerged as a rapidly advancing and extensively utilized technique within neuroscience. This paper centers on the application of raw electroencephalogram (EEG) si…
Aligning Brain Activity with Advanced Transformer Models: Exploring the Role of Punctuation in Semantic Processing
Zenon Lamprou, Frank Polick, Yashar Moshfeghi
This research examines the congruence between neural activity and advanced transformer models, emphasizing the semantic significance of punctuation in text understanding. Utilizing…
Customizable LLM-Powered Chatbot for Behavioral Science Research
Zenon Lamprou, Yashar Moshfeghi
The rapid advancement of Artificial Intelligence has resulted in the advent of Large Language Models (LLMs) with the capacity to produce text that closely resembles human communica…