In this work, we develop and release Llama 2, a collection of pretrained...
3D human modeling has been widely used for engaging interaction in gamin...
Data augmentation has been established as an efficacious approach to
sup...
Latent diffusion models for image generation have crossed a quality thre...
Indoor scene synthesis involves automatically picking and placing furnit...
In this work, we present the Textless Vision-Language Transformer (TVLT)...
We initiate the first empirical study on the use of MLP architectures fo...
Multilingual transformers (XLM, mT5) have been shown to have remarkable
...
We introduce distributed NLI, a new NLU task with a goal to predict the
...
To quantify how well natural language understanding models can capture
c...
Given the increasingly prominent role NLP models (will) play in our live...
Reasoning about conjuncts in conjunctive sentences is important for a de...
Despite the subjective nature of many NLP tasks, most NLU evaluations ha...
We find that the performance of state-of-the-art models on Natural Langu...
We introduce a new large-scale NLI benchmark dataset, collected via an
i...
Machine Reading at Scale (MRS) is a challenging task in which a system i...
The increasing concern with misinformation has stimulated research effor...
Success in natural language inference (NLI) should require a model to
un...
We present a simple sequential sentence encoder for multi-domain natural...