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07/26/2023
Plug and Pray: Exploiting off-the-shelf components of Multi-Modal Models
The rapid growth and increasing popularity of incorporating additional m...
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07/25/2023
Watermarking Conditional Text Generation for AI Detection: Unveiling Challenges and a Semantic-Aware Watermark Remedy
To mitigate potential risks associated with language models, recent AI d...
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02/16/2023
Learning with Rejection for Abstractive Text Summarization
State-of-the-art abstractive summarization systems frequently hallucinat...
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12/19/2022
Inverse Reinforcement Learning for Text Summarization
Current state-of-the-art summarization models are trained with either ma...
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06/14/2022
Text Generation with Text-Editing Models
Text-editing models have recently become a prominent alternative to seq2...
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04/28/2022
Faithful to the Document or to the World? Mitigating Hallucinations via Entity-linked Knowledge in Abstractive Summarization
Despite recent advances in abstractive summarization, current summarizat...
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05/31/2021
Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents
Faceted summarization provides briefings of a document from different pe...
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03/18/2021
Large Scale Image Completion via Co-Modulated Generative Adversarial Networks
Numerous task-specific variants of conditional generative adversarial ne...
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01/02/2021
On-the-Fly Attention Modularization for Neural Generation
Despite considerable advancements with deep neural language models (LMs)...
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10/27/2020
Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles
Multi-document summarization is a challenging task for which there exist...
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10/17/2020
Factual Error Correction for Abstractive Summarization Models
Neural abstractive summarization systems have achieved promising progres...
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10/06/2020
Multi-Fact Correction in Abstractive Text Summarization
Pre-trained neural abstractive summarization systems have dominated extr...
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05/01/2020
HipoRank: Incorporating Hierarchical and Positional Information into Graph-based Unsupervised Long Document Extractive Summarization
We propose a novel graph-based ranking model for unsupervised extractive...
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03/24/2020
MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask
Feature warping is a core technique in optical flow estimation; however,...
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09/08/2019
Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses
Sentence position is a strong feature for news summarization, since the ...
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07/29/2019
Recursive Cascaded Networks for Unsupervised Medical Image Registration
We present recursive cascaded networks, a general architecture that enab...
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06/19/2019
EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing
We present the first sentence simplification model that learns explicit ...
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06/10/2019
Synthesizing 3D Shapes from Silhouette Image Collections using Multi-projection Generative Adversarial Networks
We present a new weakly supervised learning-based method for generating ...
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11/26/2018
Multi-task Learning over Graph Structures
We present two architectures for multi-task learning with neural sequenc...
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09/25/2018
BanditSum: Extractive Summarization as a Contextual Bandit
In this work, we propose a novel method for training neural networks to ...
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09/04/2018
Modeling Surface Appearance from a Single Photograph using Self-augmented Convolutional Neural Networks
We present a convolutional neural network (CNN) based solution for model...
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05/23/2018
DeepToF: Off-the-Shelf Real-Time Correction of Multipath Interference in Time-of-Flight Imaging
Time-of-flight (ToF) imaging has become a widespread technique for depth...
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03/19/2018
A Survey on Neural Network-Based Summarization Methods
Automatic text summarization, the automated process of shortening a text...
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12/27/2016