research
∙
12/19/2022
KNIFE: Knowledge Distillation with Free-Text Rationales
Free-text rationales (FTRs) follow how humans communicate by explaining ...
share
research
∙
10/30/2022
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models
NLP models are susceptible to learning spurious biases (i.e., bugs) that...
research
∙
05/25/2022
ER-TEST: Evaluating Explanation Regularization Methods for NLP Models
Neural language models' (NLMs') reasoning processes are notoriously hard...
research
∙
11/02/2020
The Devil is in the Details: Evaluating Limitations of Transformer-based Methods for Granular Tasks
Contextual embeddings derived from transformer-based neural language mod...
research
∙
04/11/2018