research
∙
07/18/2023
Llama 2: Open Foundation and Fine-Tuned Chat Models
In this work, we develop and release Llama 2, a collection of pretrained...
share
research
∙
05/23/2023
Text-guided 3D Human Generation from 2D Collections
3D human modeling has been widely used for engaging interaction in gamin...
research
∙
04/18/2023
TTIDA: Controllable Generative Data Augmentation via Text-to-Text and Text-to-Image Models
Data augmentation has been established as an efficacious approach to sup...
research
∙
03/09/2023
3DGen: Triplane Latent Diffusion for Textured Mesh Generation
Latent diffusion models for image generation have crossed a quality thre...
research
∙
03/07/2023
CLIP-Layout: Style-Consistent Indoor Scene Synthesis with Semantic Furniture Embedding
Indoor scene synthesis involves automatically picking and placing furnit...
research
∙
09/28/2022
TVLT: Textless Vision-Language Transformer
In this work, we present the Textless Vision-Language Transformer (TVLT)...
research
∙
12/08/2021
MLP Architectures for Vision-and-Language Modeling: An Empirical Study
We initiate the first empirical study on the use of MLP architectures fo...
research
∙
06/07/2021
Investigating Transfer Learning in Multilingual Pre-trained Language Models through Chinese Natural Language Inference
Multilingual transformers (XLM, mT5) have been shown to have remarkable ...
research
∙
04/18/2021
Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning
We introduce distributed NLI, a new NLU task with a goal to predict the ...
research
∙
12/24/2020
I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling
To quantify how well natural language understanding models can capture c...
research
∙
12/24/2020
To what extent do human explanations of model behavior align with actual model behavior?
Given the increasingly prominent role NLP models (will) play in our live...
research
∙
10/20/2020
ConjNLI: Natural Language Inference Over Conjunctive Sentences
Reasoning about conjuncts in conjunctive sentences is important for a de...
research
∙
10/07/2020
What Can We Learn from Collective Human Opinions on Natural Language Inference Data?
Despite the subjective nature of many NLP tasks, most NLU evaluations ha...
research
∙
04/28/2020
The Curse of Performance Instability in Analysis Datasets: Consequences, Source, and Suggestions
We find that the performance of state-of-the-art models on Natural Langu...
research
∙
10/31/2019
Adversarial NLI: A New Benchmark for Natural Language Understanding
We introduce a new large-scale NLI benchmark dataset, collected via an i...
research
∙
09/17/2019
Revealing the Importance of Semantic Retrieval for Machine Reading at Scale
Machine Reading at Scale (MRS) is a challenging task in which a system i...
research
∙
11/16/2018
Combining Fact Extraction and Verification with Neural Semantic Matching Networks
The increasing concern with misinformation has stimulated research effor...
research
∙
11/16/2018
Analyzing Compositionality-Sensitivity of NLI Models
Success in natural language inference (NLI) should require a model to un...
research
∙
08/07/2017
