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cs.CL2024
Pre-training and Diagnosing Knowledge Base Completion Models
Vid Kocijan, Myeongjun Erik Jang, Thomas Lukasiewicz
In this work, we introduce and analyze an approach to knowledge transfer from one collection of facts to another without the need for entity or relation matching. The method works…
cs.CL2023
Improving Language Models Meaning Understanding and Consistency by Learning Conceptual Roles from Dictionary
Myeongjun Erik Jang, Thomas Lukasiewicz
The non-humanlike behaviour of contemporary pre-trained language models (PLMs) is a leading cause undermining their trustworthiness. A striking phenomenon of such faulty behaviours…
cs.CL2023
KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations
Myeongjun Jang, Bodhisattwa Prasad Majumder, Julian McAuley +2
While recent works have been considerably improving the quality of the natural language explanations (NLEs) generated by a model to justify its predictions, there is very limited r…