High-quality conversational datasets are integral to the successful
deve...
We explore whether Large Language Models (LLMs) are capable of logical
r...
In this paper, we introduce Parallel Attention and Feed-Forward Net Desi...
We present a design framework called Conversational Learning with Analyt...
This paper investigates the problem of Named Entity Recognition (NER) fo...
Transformer models trained on massive text corpora have become the de fa...
Knowledge graphs link entities through relations to provide a structured...
Word embedding models learn semantically rich vector representations of ...
Knowledge tracing (KT) models, e.g., the deep knowledge tracing (DKT) mo...