In this work, we use large language models (LLMs) to augment and acceler...
Due to the unbalanced training data distribution, the language ability o...
Recently, Pretrained Language Models (PLMs) have been serving as
general...
Language models (LMs) gradually become general-purpose interfaces in the...
Previous studies have shown that large language models (LLMs) like GPTs ...
Generative Language Models (GLMs) have demonstrated capabilities to stor...
Large language models (LLMs) have demonstrated remarkable potential in
h...
With promising yet saturated results in high-resource settings, low-reso...
With the increasing ability of large language models (LLMs), in-context
...
With increasing scale, large language models demonstrate both quantitati...
Datasets serve as crucial training resources and model performance track...
Previous literature has proved that Pretrained Language Models (PLMs) ca...
The ability of pretrained Transformers to remember factual knowledge is
...
Fine-tuning pretrained language models (PLMs) on downstream tasks has be...
Reasoning is one of the major challenges of Human-like AI and has recent...
Evaluation in natural language processing guides and promotes research o...
We propose ParaSCI, the first large-scale paraphrase dataset in the
scie...