2 papers
cs.CL2025
A Study of the Plausibility of Attention between RNN Encoders in Natural Language Inference
Duc Hau Nguyen, Pascale Sébillot
Attention maps in neural models for NLP are appealing to explain the decision made by a model, hopefully emphasizing words that justify the decision. While many empirical studies h…
cs.CL2025
Regularization, Semi-supervision, and Supervision for a Plausible Attention-Based Explanation
Duc Hau Nguyen, Cyrielle Mallart, Guillaume Gravier +1
Attention mechanism is contributing to the majority of recent advances in machine learning for natural language processing. Additionally, it results in an attention map that shows…