9 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.CL2024★ 1 cited
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…
cs.AI2024
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…
cs.IR2023★ 9 cited
Why People Skip Music? On Predicting Music Skips using Deep Reinforcement Learning
Francesco Meggetto, Crawford Revie, John Levine +1
Music recommender systems are an integral part of our daily life. Recent research has seen a significant effort around black-box recommender based approaches such as Deep Reinforce…