Yixin Nie | DeepAI

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∙ 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...

0 Hugo Touvron, et al. ∙

∙ 05/23/2023

Text-guided 3D Human Generation from 2D Collections

3D human modeling has been widely used for engaging interaction in gamin...

0 Tsu-Jui Fu, et al. ∙

∙ 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...

3 Yuwei Yin, et al. ∙

∙ 03/09/2023

3DGen: Triplane Latent Diffusion for Textured Mesh Generation

Latent diffusion models for image generation have crossed a quality thre...

0 Anchit Gupta, et al. ∙

∙ 03/07/2023

CLIP-Layout: Style-Consistent Indoor Scene Synthesis with Semantic Furniture Embedding

Indoor scene synthesis involves automatically picking and placing furnit...

0 Jingyu Liu, et al. ∙

∙ 09/28/2022

TVLT: Textless Vision-Language Transformer

In this work, we present the Textless Vision-Language Transformer (TVLT)...

4 Zineng Tang, et al. ∙

∙ 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...

2 Yixin Nie, et al. ∙

∙ 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 ...

0 Hai Hu, et al. ∙

∙ 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 ...

10 Xiang Zhou, et al. ∙

∙ 12/24/2020

I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling

To quantify how well natural language understanding models can capture c...

7 Yixin Nie, et al. ∙

∙ 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...

9 Grusha Prasad, et al. ∙

∙ 10/20/2020

ConjNLI: Natural Language Inference Over Conjunctive Sentences

Reasoning about conjuncts in conjunctive sentences is important for a de...

15 Swarnadeep Saha, et al. ∙

∙ 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...

4 Yixin Nie, et al. ∙

∙ 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...

0 Xiang Zhou, et al. ∙

∙ 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...

0 Yixin Nie, et al. ∙

∙ 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...

0 Yixin Nie, et al. ∙

∙ 11/16/2018

Combining Fact Extraction and Verification with Neural Semantic Matching Networks

The increasing concern with misinformation has stimulated research effor...

0 Yixin Nie, et al. ∙

∙ 11/16/2018

Analyzing Compositionality-Sensitivity of NLI Models

Success in natural language inference (NLI) should require a model to un...

0 Yixin Nie, et al. ∙

∙ 08/07/2017

Shortcut-Stacked Sentence Encoders for Multi-Domain Inference

We present a simple sequential sentence encoder for multi-domain natural...

0 Yixin Nie, et al. ∙

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