The burgeoning progress in the field of Large Language Models (LLMs) her...
Few-shot named entity recognition (NER) aims at identifying named entiti...
In real dialogue scenarios, the existing slot filling model, which tends...
Access to external knowledge is essential for many natural language
proc...
Understanding causality is key to the success of NLP applications, espec...
Natural language processing models often exploit spurious correlations
b...
Advanced volumetric imaging methods and genetically encoded activity
ind...
Adaptive Computation (AC) has been shown to be effective in improving th...
Open-domain Question Answering models which directly leverage question-a...
We review the EfficientQA competition from NeurIPS 2020. The competition...
Most approaches to Open-Domain Question Answering consist of a light-wei...
When pre-trained on large unsupervised textual corpora, language models ...
Recent progress in pretraining language models on large textual corpora ...
We propose a new paradigm of the detection task that is anchor-box free ...
Multi-face alignment aims to identify geometry structures of multiple hu...
Coherence plays a critical role in producing a high-quality summary from...
Task-oriented dialogue systems can efficiently serve a large number of
c...