Qingyang Wu | DeepAI

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∙ 08/01/2023

DiactTOD: Learning Generalizable Latent Dialogue Acts for Controllable Task-Oriented Dialogue Systems

Dialogue act annotations are important to improve response generation qu...

0 Qingyang Wu, et al. ∙

∙ 04/17/2023

Visual Instruction Tuning

Instruction tuning large language models (LLMs) using machine-generated ...

7 Haotian Liu, et al. ∙

∙ 04/09/2023

ARNOLD: A Benchmark for Language-Grounded Task Learning With Continuous States in Realistic 3D Scenes

Understanding the continuous states of objects is essential for task lea...

0 Ran Gong, et al. ∙

∙ 03/08/2023

FaceChat: An Emotion-Aware Face-to-face Dialogue Framework

While current dialogue systems like ChatGPT have made significant advanc...

0 Deema Alnuhait, et al. ∙

∙ 01/17/2023

GLIGEN: Open-Set Grounded Text-to-Image Generation

Large-scale text-to-image diffusion models have made amazing advances. H...

1 Yuheng Li, et al. ∙

∙ 11/30/2022

Reinforced Language Modeling for End-to-End Task Oriented Dialog

In task-oriented dialogs such as MultiWoZ (Budzianowski et al., 2018), a...

0 Xiao Yu, et al. ∙

∙ 11/12/2022

AU-Aware Vision Transformers for Biased Facial Expression Recognition

Studies have proven that domain bias and label bias exist in different F...

0 Shuyi Mao, et al. ∙

∙ 09/15/2022

Stateful Memory-Augmented Transformers for Dialogue Modeling

Transformer encoder-decoder models have shown impressive performance in ...

0 Qingyang Wu, et al. ∙

∙ 07/08/2022

Video-based Smoky Vehicle Detection with A Coarse-to-Fine Framework

Automatic smoky vehicle detection in videos is a superior solution to th...

0 Xiaojiang Peng, et al. ∙

∙ 12/15/2021

DG2: Data Augmentation Through Document Grounded Dialogue Generation

Collecting data for training dialog systems can be extremely expensive d...

0 Qingyang Wu, et al. ∙

∙ 10/14/2020

Memformer: The Memory-Augmented Transformer

Transformer models have obtained remarkable accomplishments in various N...

1 Qingyang Wu, et al. ∙

∙ 08/07/2020

Perception Score, A Learned Metric for Open-ended Text Generation Evaluation

Automatic evaluation for open-ended natural language generation tasks re...

0 Jing Gu, et al. ∙

∙ 05/11/2020

On the Generation of Medical Dialogues for COVID-19

Under the pandemic of COVID-19, people experiencing COVID19-related symp...

0 Wenmian Yang, et al. ∙

∙ 04/24/2020

A Tailored Pre-Training Model for Task-Oriented Dialog Generation

The recent success of large pre-trained language models such as BERT and...

0 Jing Gu, et al. ∙

∙ 11/25/2019

Importance-Aware Learning for Neural Headline Editing

Many social media news writers are not professionally trained. Therefore...

0 Qingyang Wu, et al. ∙

∙ 10/09/2019

Alternating Recurrent Dialog Model with Large-scale Pre-trained Language Models

Existing dialog system models require extensive human annotations and ar...

0 Qingyang Wu, et al. ∙

∙ 06/11/2019

Quantifying Intrinsic Uncertainty in Classification via Deep Dirichlet Mixture Networks

With the widespread success of deep neural networks in science and techn...

0 Qingyang Wu, et al. ∙

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