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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
Large Language Models for Mathematicians
Simon Frieder, Julius Berner, Philipp Petersen +1
Large language models (LLMs) such as ChatGPT have received immense interest for their general-purpose language understanding and, in particular, their ability to generate high-qual…
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…