14 citations · 16 across the 4 of their papers we have counts for
4 papers
From Punchlines to Predictions: A Metric to Assess LLM Performance in Identifying Humor in Stand-Up Comedy
Adrianna Romanowski, Pedro H. V. Valois, Kazuhiro Fukui
Comedy serves as a profound reflection of the times we live in and is a staple element of human interactions. In light of the widespread adoption of Large Language Models (LLMs), t…
Frame Representation Hypothesis: Multi-Token LLM Interpretability and Concept-Guided Text Generation
Pedro H. V. Valois, Lincon S. Souza, Erica K. Shimomoto +1
Interpretability is a key challenge in fostering trust for Large Language Models (LLMs), which stems from the complexity of extracting reasoning from model's parameters. We present…
Second-order difference subspace
Kazuhiro Fukui, Pedro H. V. Valois, Lincon Souza +1
Subspace representation is a fundamental technique in various fields of machine learning. Analyzing a geometrical relationship among multiple subspaces is essential for understandi…
Occlusion Sensitivity Analysis with Augmentation Subspace Perturbation in Deep Feature Space
Pedro Valois, Koichiro Niinuma, Kazuhiro Fukui
Deep Learning of neural networks has gained prominence in multiple life-critical applications like medical diagnoses and autonomous vehicle accident investigations. However, concer…