Perturbation theory for stochastic learning dynamics. - Todd K. Leen; Robert Friel (IJCNN, 2011)

Stochastic Perturbation Methods for Spike-Timing-Dependent Plasticity. - Todd K. Leen; Robert Friel (Neural Comput., 2012)

Approximating distributions in stochastic learning. - Todd K. Leen; Robert Friel; David Nielsen (Neural Networks, 2012)

Evaluating Recommendation Systems Using the Power of Embeddings. - Jonathan Gomes-Selman; Robert Friel; Bogdan Gheorghe; Derek Austin; Atindriyo Sanyal (EvalRS@KDD, 2023)

Chainpoll: A high efficacy method for LLM hallucination detection. - Robert Friel; Atindriyo Sanyal (CoRR, 2023)

Luna: An Evaluation Foundation Model to Catch Language Model Hallucinations with High Accuracy and Low Cost. - Masha Belyi; Robert Friel; Shuai Shao; Atindriyo Sanyal (CoRR, 2024)

RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems. - Robert Friel; Masha Belyi; Atindriyo Sanyal (CoRR, 2024)

Luna: A Lightweight Evaluation Model to Catch Language Model Hallucinations with High Accuracy and Low Cost. - Masha Belyi; Robert Friel; Shuai Shao; Atindriyo Sanyal (COLING (Industry), 2025)