3 citations · 11 across the 17 of their papers we have counts for
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cs.CL2024
ToW: Thoughts of Words Improve Reasoning in Large Language Models
Zhikun Xu, Ming Shen, Jacob Dineen +6
We introduce thoughts of words (ToW), a novel training-time data-augmentation method for next-word prediction. ToW views next-word prediction as a core reasoning task and injects f…
cs.LG2024★ 2 cited
Model Interpretation and Explainability: Towards Creating Transparency in Prediction Models
Donald Kridel, Jacob Dineen, Daniel Dolk +1
Explainable AI (XAI) has a counterpart in analytical modeling which we refer to as model explainability. We tackle the issue of model explainability in the context of prediction mo…
cs.LG2024★ 2 cited
Unified Explanations in Machine Learning Models: A Perturbation Approach
Jacob Dineen, Don Kridel, Daniel Dolk +1
A high-velocity paradigm shift towards Explainable Artificial Intelligence (XAI) has emerged in recent years. Highly complex Machine Learning (ML) models have flourished in many ta…