The Biomedical Entity Normalization (BEN) task aims to align raw,
unstru...
Recent advances in Large Language Models (LLMs) have achieved remarkable...
In this paper, we study the use of deep Transformer translation model fo...
Hybrid tabular-textual question answering (QA) requires reasoning from
h...
The Transformer translation model that based on the multi-head attention...
Increasing the depth of models allows neural models to model complicated...
The Transformer translation model (Vaswani et al., 2017) based on a
mult...
The choice of hyper-parameters affects the performance of neural models....
The Transformer translation model is popular for its effective
paralleli...
The Transformer translation model employs residual connection and layer
...
In automatic post-editing (APE) it makes sense to condition post-editing...
In this paper, we describe our submission to the English-German APE shar...
The Transformer translation model is easier to parallelize and provides
...