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04/02/2023
Querying Large Language Models with SQL
In many use-cases, information is stored in text but not available in st...
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12/15/2021
GenIE: Generative Information Extraction
Structured and grounded representation of text is typically formalized b...
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12/13/2021
Sparse Interventions in Language Models with Differentiable Masking
There has been a lot of interest in understanding what information is ca...
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09/08/2021
Highly Parallel Autoregressive Entity Linking with Discriminative Correction
Generative approaches have been recently shown to be effective for both ...
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04/16/2021
Editing Factual Knowledge in Language Models
The factual knowledge acquired during pretraining and stored in the para...
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03/23/2021
Multilingual Autoregressive Entity Linking
We present mGENRE, a sequence-to-sequence system for the Multilingual En...
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01/01/2021
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned
We review the EfficientQA competition from NeurIPS 2020. The competition...
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12/30/2020
A Memory Efficient Baseline for Open Domain Question Answering
Recently, retrieval systems based on dense representations have led to i...
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10/02/2020
Autoregressive Entity Retrieval
Entities are at the center of how we represent and aggregate knowledge. ...
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10/01/2020
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking
Graph neural networks (GNNs) have become a popular approach to integrati...
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09/04/2020
KILT: a Benchmark for Knowledge Intensive Language Tasks
Challenging problems such as open-domain question answering, fact checki...
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06/08/2020
The Power Spherical distribution
There is a growing interest in probabilistic models defined in hyper-sph...
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04/30/2020
How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking
Attribution methods assess the contribution of inputs (e.g., words) to t...
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04/09/2019
Block Neural Autoregressive Flow
Normalising flows (NFS) map two density functions via a differentiable b...
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08/29/2018
Question Answering by Reasoning Across Documents with Graph Convolutional Networks
Most research in reading comprehension has focused on answering question...
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07/12/2018
Explorations in Homeomorphic Variational Auto-Encoding
The manifold hypothesis states that many kinds of high-dimensional data ...
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05/30/2018
MolGAN: An implicit generative model for small molecular graphs
Deep generative models for graph-structured data offer a new angle on th...
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04/03/2018
