Cross-modal garment synthesis and manipulation will significantly benefi...
Autoregressive language models are trained by minimizing the cross-entro...
Language models (LMs) can generate hallucinations and incoherent outputs...
While large language models (LLMs) have proven to be effective on a larg...
Current abstractive summarization models either suffer from a lack of cl...
The problems of unfaithful summaries have been widely discussed under th...
Student Evaluations of Teaching (SETs) are widely used in colleges and
u...
Previous Part-Of-Speech (POS) induction models usually assume certain
in...
A multilingual tokenizer is a fundamental component of multilingual neur...
More than 43
language loss currently occurs at an accelerated rate becau...
Human evaluation for summarization tasks is reliable but brings in issue...
We introduce ChrEnTranslate, an online machine translation demonstration...
Recent years have brought about an interest in the challenging task of
s...
Cherokee is a highly endangered Native American language spoken by the
C...
Data collection for natural language (NL) understanding tasks has
increa...
Text-based Question Generation (QG) aims at generating natural and relev...
A primary goal of computational phenotype research is to conduct medical...
Neural machine translation (NMT) has recently achieved impressive result...
Neural machine translation (NMT) has achieved notable success in recent
...
Neural machine translation (NMT) has achieved notable performance recent...
It has been shown that Chinese poems can be successfully generated by
se...
Recurrent neural networks (RNNs) have shown clear superiority in sequenc...