In this work, we develop and release Llama 2, a collection of pretrained...
Many real-world applications require making multiple predictions from th...
Prompt tuning is one of the successful approaches for parameter-efficien...
We introduce Progressive Prompts - a simple and efficient approach for
c...
Masked Language Modeling (MLM) has proven to be an essential component o...
Evaluating an explanation's faithfulness is desired for many reasons suc...
Conventional fine-tuning of pre-trained language models tunes all model
...
Contrastive self-supervised learning has emerged as a promising approach...
Neural networks have become the state-of-the-art approach for machine
tr...
Computing optimal transport maps between high-dimensional and continuous...
Generative adversarial networks have been very successful in generative
...
Recent work has shown that collaborative filter-based recommender system...
Learning inter-domain mappings from unpaired data can improve performanc...
Neural machine translation has become a major alternative to widely used...
Theano is a Python library that allows to define, optimize, and evaluate...
We introduce the Dynamic Capacity Network (DCN), a neural network that c...