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01/25/2023
Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute
Retrieval-augmented language models such as Fusion-in-Decoder are powerf...
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12/15/2022
FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference
Fusion-in-Decoder (FiD) is a powerful retrieval-augmented language model...
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10/22/2022
Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling
Abstractive summarization models often generate inconsistent summaries c...
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04/10/2022
Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering
Retrieval augmented language models have recently become the standard fo...
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10/12/2021
Mention Memory: incorporating textual knowledge into Transformers through entity mention attention
Natural language understanding tasks such as open-domain question answer...
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07/12/2017
Explainable Entity-based Recommendations with Knowledge Graphs
Explainable recommendation is an important task. Many methods have been ...
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04/07/2017
TransNets: Learning to Transform for Recommendation
Recently, deep learning methods have been shown to improve the performan...
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03/20/2016
Multi-Task Cross-Lingual Sequence Tagging from Scratch
We present a deep hierarchical recurrent neural network for sequence tag...
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08/04/2015
Multi-Modal Bayesian Embeddings for Learning Social Knowledge Graphs
We study the extent to which online social networks can be connected to ...
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07/12/2012
