9 citations · 25 across the 19 of their papers we have counts for
8 papers · 1 filter
Towards Brain Passage Retrieval -- An Investigation of EEG Query Representations
Niall McGuire, Yashar Moshfeghi
Information Retrieval (IR) systems primarily rely on users' ability to translate their internal information needs into (text) queries. However, this translation process is often un…
PRISM: A Methodology for Auditing Biases in Large Language Models
Leif Azzopardi, Yashar Moshfeghi
Auditing Large Language Models (LLMs) to discover their biases and preferences is an emerging challenge in creating Responsible Artificial Intelligence (AI). While various methods…
On the Role of Activation Functions in EEG-To-Text Decoder
Zenon Lamprou, Iakovos Tenedios, Yashar Moshfeghi
In recent years, much interdisciplinary research has been conducted exploring potential use cases of neuroscience to advance the field of information retrieval. Initial research co…
Prediction of the Realisation of an Information Need: An EEG Study
Niall McGuire, Dr Yashar Moshfeghi
One of the foundational goals of Information Retrieval (IR) is to satisfy searchers' Information Needs (IN). Understanding how INs physically manifest has long been a complex and e…
GOLD: Geometry Problem Solver with Natural Language Description
Jiaxin Zhang, Yashar Moshfeghi
Addressing the challenge of automated geometry math problem-solving in artificial intelligence (AI) involves understanding multi-modal information and mathematics. Current methods…
FAST functional connectivity implicates P300 connectivity in working memory deficits in Alzheimer's disease
Om Roy, Yashar Moshfeghi, Agustin Ibanez +3
Measuring transient functional connectivity is an important challenge in Electroencephalogram (EEG) research. Here, the rich potential for insightful, discriminative information of…
GeoEval: Benchmark for Evaluating LLMs and Multi-Modal Models on Geometry Problem-Solving
Jiaxin Zhang, Zhongzhi Li, Mingliang Zhang +3
Recent advancements in large language models (LLMs) and multi-modal models (MMs) have demonstrated their remarkable capabilities in problem-solving. Yet, their proficiency in tackl…
GAPS: Geometry-Aware Problem Solver
Jiaxin Zhang, Yinghui Jiang, Yashar Moshfeghi
Geometry problem solving presents a formidable challenge within the NLP community. Existing approaches often rely on models designed for solving math word problems, neglecting the…