Most open-domain dialogue systems suffer from forgetting important
infor...
Text classification is a fundamental task for natural language processin...
Mixed-Precision Quantization (MQ) can achieve a competitive
accuracy-com...
Text-to-SQL aims at generating SQL queries for the given natural languag...
Text classification tasks often encounter few shot scenarios with limite...
Recent advancements in Large Language Models (LLMs), such as Codex, Chat...
Practical networks for edge devices adopt shallow depth and small
convol...
Neural architecture search (NAS) has made tremendous progress in the
aut...
Text style transfer aims to alter the style of a sentence while preservi...
Lifelong learning aims to accumulate knowledge and alleviate catastrophi...
In knowledge distillation, a student model is trained with supervisions ...
Lifelong learning (LL) is vital for advanced task-oriented dialogue (ToD...
Building models of natural language processing (NLP) is challenging in
l...
Text style transfer aims to alter the style (e.g., sentiment) of a sente...
Personalized conversation models (PCMs) generate responses according to
...
Dialogue generation models face the challenge of producing generic and
r...
Neural conversation models are known to generate appropriate but
non-inf...