Large language models (LLMs) are a special class of pretrained language models (PLMs)
obtained by scaling model size, pretraining corpus and computation. LLMs, because of their …

Large language models (LLMs) have dramatically enhanced the field of language
intelligence, as demonstrably evidenced by their formidable empirical performance across a …

Modern large language models (LLMs) like ChatGPT have shown remarkable performance
on general language tasks but still struggle on complex reasoning tasks, which drives the …

Large language models (LLMs) that have been trained on multilingual but not parallel text
exhibit a remarkable ability to translate between languages. We probe this ability in an in …

Multilingual Large Language Models are capable of using powerful Large Language
Models to handle and respond to queries in multiple languages, which achieves remarkable …

In this work we systematically review the recent advancements in code processing with
language models, covering 50+ models, 30+ evaluation tasks, 170+ datasets, and 700 …

The state-of-the-art language model-based automatic metrics, eg BARTScore, benefiting
from large-scale contextualized pre-training, have been successfully used in a wide range of …

Large language models (LLMs) that exhibit a remarkable ability by in-context learning (ICL)
with bilingual demonstrations have been recognized as a potential solution for machine …

Chain-of-thought (CoT) prompting for language models demonstrates impressive
performance across reasoning tasks, but typically needs labeled exemplars of the reasoning …

Resolving semantic ambiguity has long been recognised as a central challenge in the field
of machine translation. Recent work on benchmarking translation performance on …