Search Results for author: Yuxiang Wu

Found 12 papers, 4 papers with code

Don’t Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering

no code implementations EMNLP (sustainlp) 2020 Yuxiang Wu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel

Most approaches to Open-Domain Question Answering consist of a light-weight retriever that selects a set of candidate passages, and a computationally expensive reader that examines the passages to identify the correct answer.

Open-Domain Question Answering

Don't Read Too Much into It: Adaptive Computation for Open-Domain Question Answering

no code implementations EMNLP 2020 Yuxiang Wu, Sebastian Riedel, Pasquale Minervini, Pontus Stenetorp

Most approaches to Open-Domain Question Answering consist of a light-weight retriever that selects a set of candidate passages, and a computationally expensive reader that examines the passages to identify the correct answer.

Open-Domain Question Answering

How Context Affects Language Models' Factual Predictions

no code implementations AKBC 2020 Fabio Petroni, Patrick Lewis, Aleksandra Piktus, Tim Rocktäschel, Yuxiang Wu, Alexander H. Miller, Sebastian Riedel

When pre-trained on large unsupervised textual corpora, language models are able to store and retrieve factual knowledge to some extent, making it possible to use them directly for zero-shot cloze-style question answering.

Information Retrieval Language Modelling +2

Language Models as Knowledge Bases?

1 code implementation IJCNLP 2019 Fabio Petroni, Tim Rocktäschel, Patrick Lewis, Anton Bakhtin, Yuxiang Wu, Alexander H. Miller, Sebastian Riedel

Recent progress in pretraining language models on large textual corpora led to a surge of improvements for downstream NLP tasks.

LAMA Language Modelling +1

Segmentation is All You Need

no code implementations30 Apr 2019 Zehua Cheng, Yuxiang Wu, Zhenghua Xu, Thomas Lukasiewicz, Weiyang Wang

Region proposal mechanisms are essential for existing deep learning approaches to object detection in images.

Face Detection Head Detection +2

FoxNet: A Multi-face Alignment Method

no code implementations22 Apr 2019 Yuxiang Wu, Zehua Cheng, Bin Huang, Yiming Chen, Xinghui Zhu, Weiyang Wang

Multi-face alignment aims to identify geometry structures of multiple faces in an image, and its performance is essential for the many practical tasks, such as face recognition, face tracking, and face animation.

Face Alignment Face Recognition

Learning to Extract Coherent Summary via Deep Reinforcement Learning

no code implementations19 Apr 2018 Yuxiang Wu, Baotian Hu

As an effort towards extracting coherent summaries, we propose a neural coherence model to capture the cross-sentence semantic and syntactic coherence patterns.

Extractive Summarization Feature Engineering +1

Integrating User and Agent Models: A Deep Task-Oriented Dialogue System

no code implementations10 Nov 2017 Weiyan Wang, Yuxiang Wu, Yu Zhang, Zhongqi Lu, Kaixiang Mo, Qiang Yang

Then the built user model is used as a leverage to train the agent model by deep reinforcement learning.

Task-Oriented Dialogue Systems

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