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06/24/2023
DesCo: Learning Object Recognition with Rich Language Descriptions
Recent development in vision-language approaches has instigated a paradi...
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05/24/2023
Gender Biases in Automatic Evaluation Metrics: A Case Study on Image Captioning
Pretrained model-based evaluation metrics have demonstrated strong perfo...
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05/23/2023
Masked Path Modeling for Vision-and-Language Navigation
Vision-and-language navigation (VLN) agents are trained to navigate in r...
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12/21/2022
Generalized Decoding for Pixel, Image, and Language
We present X-Decoder, a generalized decoding model that can predict pixe...
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06/15/2022
Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone
Vision-language (VL) pre-training has recently received considerable att...
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06/09/2022
FOAM: A Follower-aware Speaker Model For Vision-and-Language Navigation
The speaker-follower models have proven to be effective in vision-and-la...
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01/01/2022
Zero-shot Commonsense Question Answering with Cloze Translation and Consistency Optimization
Commonsense question answering (CQA) aims to test if models can answer q...
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11/03/2021
An Empirical Study of Training End-to-End Vision-and-Language Transformers
Vision-and-language (VL) pre-training has proven to be highly effective ...
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04/15/2021
RefSum: Refactoring Neural Summarization
Although some recent works show potential complementarity among differen...
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01/20/2021
Word Alignment by Fine-tuning Embeddings on Parallel Corpora
Word alignment over parallel corpora has a wide variety of applications,...
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10/15/2020
GSum: A General Framework for Guided Neural Abstractive Summarization
Neural abstractive summarization models are flexible and can produce coh...
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10/11/2020
CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems
Neural network-based models augmented with unsupervised pre-trained know...
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07/03/2020
TICO-19: the Translation Initiative for Covid-19
The COVID-19 pandemic is the worst pandemic to strike the world in over ...
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04/07/2020
Dynamic Data Selection and Weighting for Iterative Back-Translation
Back-translation has proven to be an effective method to utilize monolin...
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10/07/2019
Domain Differential Adaptation for Neural Machine Translation
Neural networks are known to be data hungry and domain sensitive, but it...
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08/27/2019
Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature Embeddings
The recent success of neural machine translation models relies on the av...
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08/27/2019
Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks
Learning general representations of text is a fundamental problem for ma...
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04/05/2019
Information Aggregation for Multi-Head Attention with Routing-by-Agreement
Multi-head attention is appealing for its ability to jointly extract dif...
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03/19/2019
compare-mt: A Tool for Holistic Comparison of Language Generation Systems
In this paper, we describe compare-mt, a tool for holistic analysis and ...
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02/15/2019
Dynamic Layer Aggregation for Neural Machine Translation with Routing-by-Agreement
With the promising progress of deep neural networks, layer aggregation h...
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10/24/2018
Exploiting Deep Representations for Neural Machine Translation
Advanced neural machine translation (NMT) models generally implement enc...
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11/26/2017
SkipNet: Learning Dynamic Routing in Convolutional Networks
Increasing depth and complexity in convolutional neural networks has ena...
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09/19/2017