Nicola De Cao

Orcid: 0000-0003-2121-9485

According to our database1, Nicola De Cao authored at least 20 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Querying Large Language Models with SQL.
Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

2022
Multilingual Autoregressive Entity Linking.
Trans. Assoc. Comput. Linguistics, 2022

GenIE: Generative Information Extraction.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Sparse Interventions in Language Models with Differentiable Masking.
Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2022

2021
GenIE: Generative Information Extraction.
CoRR, 2021

KILT: a Benchmark for Knowledge Intensive Language Tasks.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking.
Proceedings of the 9th International Conference on Learning Representations, 2021

Autoregressive Entity Retrieval.
Proceedings of the 9th International Conference on Learning Representations, 2021

Highly Parallel Autoregressive Entity Linking with Discriminative Correction.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Editing Factual Knowledge in Language Models.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
A Memory Efficient Baseline for Open Domain Question Answering.
CoRR, 2020

KILT: a Benchmark for Knowledge Intensive Language Tasks.
CoRR, 2020

The Power Spherical distribution.
CoRR, 2020


How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Block Neural Autoregressive Flow.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Question Answering by Reasoning Across Documents with Graph Convolutional Networks.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018
Explorations in Homeomorphic Variational Auto-Encoding.
CoRR, 2018

MolGAN: An implicit generative model for small molecular graphs.
CoRR, 2018

Hyperspherical Variational Auto-Encoders.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018


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