Transformer-based pre-trained language models such as BERT have achieved remarkable
results in Semantic Sentence Matching. However, existing models still suffer from insufficient …

Transformer-based pre-trained models have achieved great improvements in semantic
matching. However, existing models still suffer from insufficient ability to capture subtle …

The Transformer-based model have made significant strides in semantic matching tasks by
capturing connections between phrase pairs. However, to assess the relevance of sentence …

Pre-trained models such as BERT have achieved remarkable results in text matching tasks.
However, existing models still suffer from the challenge of capturing local subtle differences …

Different approaches to address semantic similarity matching generally fall into one of the
two categories of interaction-based and representation-based models. While each approach …

Despite the continuous efforts in improving both the effectiveness and efficiency of code
search, two issues remained unsolved. First, programming languages have inherent strong …

Nowadays, transformer-based models gradually become the default choice for artificial
intelligence pioneers. The models also show superiority even in the few-shot scenarios. In …