Search Results - De Cao, Nicola

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  1. 1
    Multilingual Autoregressive Entity Linking

    Multilingual Autoregressive Entity Linking by De Cao, Nicola, Wu, Ledell, Popat, Kashyap, Artetxe, Mikel, Goyal, Naman, Plekhanov, Mikhail, Zettlemoyer, Luke, Cancedda, Nicola, Riedel, Sebastian, Petroni, Fabio

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  2. 2
    MolGAN: An implicit generative model for small molecular graphs

    MolGAN: An implicit generative model for small molecular graphs by De Cao, Nicola, Kipf, Thomas

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  3. 3
    Querying Large Language Models with SQL

    Querying Large Language Models with SQL by Saeed, Mohammed, De Cao, Nicola, Papotti, Paolo

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  4. 4
    Question Answering by Reasoning Across Documents with Graph Convolutional Networks

    Question Answering by Reasoning Across Documents with Graph Convolutional Networks by De Cao, Nicola, Wilker Aziz, Titov, Ivan

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  5. 5
    The Power Spherical distribution

    The Power Spherical distribution by De Cao, Nicola, Wilker Aziz

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  6. 6
    Editing Factual Knowledge in Language Models

    Editing Factual Knowledge in Language Models by De Cao, Nicola, Wilker Aziz, Titov, Ivan

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  7. 7
    Highly Parallel Autoregressive Entity Linking with Discriminative Correction

    Highly Parallel Autoregressive Entity Linking with Discriminative Correction by De Cao, Nicola, Wilker Aziz, Titov, Ivan

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  8. 8
    Learning to Plan and Generate Text with Citations

    Learning to Plan and Generate Text with Citations by Fierro, Constanza, Reinald Kim Amplayo, Huot, Fantine, De Cao, Nicola, Maynez, Joshua, Narayan, Shashi, Lapata, Mirella

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  9. 9
    Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking

    Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking by Schlichtkrull, Michael Sejr, De Cao, Nicola, Titov, Ivan

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  10. 10
    Sparse Interventions in Language Models with Differentiable Masking

    Sparse Interventions in Language Models with Differentiable Masking by De Cao, Nicola, Schmid, Leon, Hupkes, Dieuwke, Titov, Ivan

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  11. 11
    Autoregressive Entity Retrieval

    Autoregressive Entity Retrieval by De Cao, Nicola, Gautier Izacard, Riedel, Sebastian, Petroni, Fabio

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  12. 12
    How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking

    How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking by De Cao, Nicola, Schlichtkrull, Michael, Wilker Aziz, Titov, Ivan

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  13. 13
    Block Neural Autoregressive Flow

    Block Neural Autoregressive Flow by De Cao, Nicola, Titov, Ivan, Wilker Aziz

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  14. 14
    Hyperspherical Variational Auto-Encoders

    Hyperspherical Variational Auto-Encoders by Davidson, Tim R, Falorsi, Luca, De Cao, Nicola, Kipf, Thomas, Tomczak, Jakub M

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  15. 15
    GenIE: Generative Information Extraction

    GenIE: Generative Information Extraction by Josifoski, Martin, De Cao, Nicola, Peyrard, Maxime, Petroni, Fabio, West, Robert

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  16. 16
    A Memory Efficient Baseline for Open Domain Question Answering

    A Memory Efficient Baseline for Open Domain Question Answering by Gautier Izacard, Petroni, Fabio, Hosseini, Lucas, De Cao, Nicola, Riedel, Sebastian, Grave, Edouard

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  17. 17
    Multilingual Autoregressive Entity Linking

    Multilingual Autoregressive Entity Linking by De Cao, Nicola, Wu, Ledell, Popat, Kashyap, Artetxe, Mikel, Goyal, Naman, Plekhanov, Mikhail, Zettlemoyer, Luke, Cancedda, Nicola, Riedel, Sebastian, Petroni, Fabio

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  18. 18
    KILT: a Benchmark for Knowledge Intensive Language Tasks

    KILT: a Benchmark for Knowledge Intensive Language Tasks by Petroni, Fabio, Piktus, Aleksandra, Fan, Angela, Lewis, Patrick, Yazdani, Majid, De Cao, Nicola, Thorne, James, Jernite, Yacine, Karpukhin, Vladimir, Maillard, Jean, Plachouras, Vassilis, Rocktäschel, Tim, Riedel, Sebastian

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  19. 19
    Explorations in Homeomorphic Variational Auto-Encoding

    Explorations in Homeomorphic Variational Auto-Encoding by Falorsi, Luca, de Haan, Pim, Davidson, Tim R, De Cao, Nicola, Weiler, Maurice, ré, Patrick, Cohen, Taco S

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  20. 20
    NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned

    NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned by Min, Sewon, Boyd-Graber, Jordan, Alberti, Chris, Chen, Danqi, Choi, Eunsol, Collins, Michael, Guu, Kelvin, Hannaneh Hajishirzi, Lee, Kenton, Palomaki, Jennimaria, Raffel, Colin, Roberts, Adam, Kwiatkowski, Tom, Lewis, Patrick, Wu, Yuxiang, Küttler, Heinrich, Liu, Linqing, Minervini, Pasquale, Stenetorp, Pontus, Riedel, Sebastian, Yang, Sohee, Seo, Minjoon, Gautier Izacard, Petroni, Fabio, Hosseini, Lucas, De Cao, Nicola, Grave, Edouard, Yamada, Ikuya, Shimaoka, Sonse, Suzuki, Masatoshi, Miyawaki, Shumpei, Sato, Shun, Takahashi, Ryo, Suzuki, Jun, Fajcik, Martin, Docekal, Martin, Ondrej, Karel, Smrz, Pavel, Cheng, Hao, Shen, Yelong, Liu, Xiaodong, He, Pengcheng, Chen, Weizhu, Gao, Jianfeng, Barlas Oguz, Chen, Xilun, Karpukhin, Vladimir, Peshterliev, Stan, Okhonko, Dmytro, Schlichtkrull, Michael, Gupta, Sonal, Mehdad, Yashar, Wen-tau Yih

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