We present PandaGPT, an approach to emPower large lANguage moDels with v...
We introduce a frustratingly simple, super efficient and surprisingly
ef...
Text structuralization is one of the important fields of natural languag...
N-gram language models (LM) have been largely superseded by neural LMs a...
While large-scale neural language models, such as GPT2 and BART, have
ac...
Probing is popular to analyze whether linguistic information can be capt...
Current practices in metric evaluation focus on one single dataset, e.g....
Recently, retrieval-augmented text generation attracted increasing atten...
Computer-aided translation (CAT), the use of software to assist a human
...
Data augmentation is an effective way to improve the performance of many...
Automatic machine translation is super efficient to produce translations...
Prior work has proved that Translation memory (TM) can boost the perform...
An important aspect of developing dialogue systems is how to evaluate an...
Many efforts have been devoted to extracting constituency trees from
pre...
Manipulating visual attributes of images through human-written text is a...
Recently many efforts have been devoted to interpreting the black-box NM...
Lexically constrained decoding for machine translation has shown to be
b...