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2020 – today
- 2024
[c14]Constanza Fierro, Reinald Kim Amplayo, Fantine Huot, Nicola De Cao, Joshua Maynez, Shashi Narayan, Mirella Lapata:
Learning to Plan and Generate Text with Citations. ACL (1) 2024: 11397-11417- [c13]Mohammed Saeed, Nicola De Cao, Paolo Papotti:
Querying Large Language Models with SQL. EDBT 2024: 365-372 - [i19]Constanza Fierro, Reinald Kim Amplayo, Fantine Huot, Nicola De Cao, Joshua Maynez, Shashi Narayan, Mirella Lapata:
Learning to Plan and Generate Text with Citations. CoRR abs/2404.03381 (2024) - 2023
- [i18]Mohammed Saeed, Nicola De Cao, Paolo Papotti:
Querying Large Language Models with SQL. CoRR abs/2304.00472 (2023) - 2022
- [j1]Nicola De Cao
, Ledell Wu, Kashyap Popat, Mikel Artetxe, Naman Goyal, Mikhail Plekhanov, Luke Zettlemoyer, Nicola Cancedda, Sebastian Riedel, Fabio Petroni:
Multilingual Autoregressive Entity Linking. Trans. Assoc. Comput. Linguistics 10: 274-290 (2022) - [c12]Nicola De Cao, Leon Schmid, Dieuwke Hupkes, Ivan Titov:
Sparse Interventions in Language Models with Differentiable Masking. BlackboxNLP@EMNLP 2022: 16-27 - [c11]Martin Josifoski, Nicola De Cao, Maxime Peyrard, Fabio Petroni, Robert West:
GenIE: Generative Information Extraction. NAACL-HLT 2022: 4626-4643 - 2021
- [c10]Nicola De Cao, Wilker Aziz, Ivan Titov:
Editing Factual Knowledge in Language Models. EMNLP (1) 2021: 6491-6506 - [c9]Nicola De Cao, Wilker Aziz, Ivan Titov:
Highly Parallel Autoregressive Entity Linking with Discriminative Correction. EMNLP (1) 2021: 7662-7669 - [c8]Nicola De Cao, Gautier Izacard, Sebastian Riedel, Fabio Petroni:
Autoregressive Entity Retrieval. ICLR 2021 - [c7]Michael Sejr Schlichtkrull, Nicola De Cao, Ivan Titov:
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking. ICLR 2021 - [c6]Fabio Petroni, Aleksandra Piktus, Angela Fan, Patrick S. H. Lewis, Majid Yazdani, Nicola De Cao, James Thorne, Yacine Jernite, Vladimir Karpukhin, Jean Maillard, Vassilis Plachouras, Tim Rocktäschel, Sebastian Riedel:
KILT: a Benchmark for Knowledge Intensive Language Tasks. NAACL-HLT 2021: 2523-2544 - [i17]Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih:
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. CoRR abs/2101.00133 (2021) - [i16]Nicola De Cao, Ledell Wu, Kashyap Popat, Mikel Artetxe, Naman Goyal, Mikhail Plekhanov, Luke Zettlemoyer, Nicola Cancedda, Sebastian Riedel, Fabio Petroni:
Multilingual Autoregressive Entity Linking. CoRR abs/2103.12528 (2021) - [i15]Nicola De Cao, Wilker Aziz, Ivan Titov:
Editing Factual Knowledge in Language Models. CoRR abs/2104.08164 (2021) - [i14]Nicola De Cao, Wilker Aziz, Ivan Titov:
Highly Parallel Autoregressive Entity Linking with Discriminative Correction. CoRR abs/2109.03792 (2021) - [i13]Nicola De Cao, Leon Schmid, Dieuwke Hupkes, Ivan Titov:
Sparse Interventions in Language Models with Differentiable Masking. CoRR abs/2112.06837 (2021) - [i12]Martin Josifoski, Nicola De Cao, Maxime Peyrard, Robert West:
GenIE: Generative Information Extraction. CoRR abs/2112.08340 (2021) - 2020
- [c5]Nicola De Cao, Michael Sejr Schlichtkrull, Wilker Aziz, Ivan Titov:
How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking. EMNLP (1) 2020: 3243-3255 - [c4]Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih:
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. NeurIPS (Competition and Demos) 2020: 86-111 - [i11]Nicola De Cao, Michael Sejr Schlichtkrull, Wilker Aziz, Ivan Titov:
How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking. CoRR abs/2004.14992 (2020) - [i10]Nicola De Cao, Wilker Aziz:
The Power Spherical distribution. CoRR abs/2006.04437 (2020) - [i9]Fabio Petroni, Aleksandra Piktus, Angela Fan, Patrick S. H. Lewis, Majid Yazdani, Nicola De Cao, James Thorne, Yacine Jernite, Vassilis Plachouras, Tim Rocktäschel, Sebastian Riedel:
KILT: a Benchmark for Knowledge Intensive Language Tasks. CoRR abs/2009.02252 (2020) - [i8]Michael Sejr Schlichtkrull, Nicola De Cao, Ivan Titov:
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking. CoRR abs/2010.00577 (2020) - [i7]Nicola De Cao, Gautier Izacard, Sebastian Riedel, Fabio Petroni:
Autoregressive Entity Retrieval. CoRR abs/2010.00904 (2020) - [i6]Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Sebastian Riedel, Edouard Grave:
A Memory Efficient Baseline for Open Domain Question Answering. CoRR abs/2012.15156 (2020)
2010 – 2019
- 2019
- [c3]Nicola De Cao, Wilker Aziz, Ivan Titov:
Question Answering by Reasoning Across Documents with Graph Convolutional Networks. NAACL-HLT (1) 2019: 2306-2317 - [c2]Nicola De Cao, Wilker Aziz, Ivan Titov:
Block Neural Autoregressive Flow. UAI 2019: 1263-1273 - [i5]Nicola De Cao, Ivan Titov, Wilker Aziz:
Block Neural Autoregressive Flow. CoRR abs/1904.04676 (2019) - 2018
- [c1]Tim R. Davidson, Luca Falorsi, Nicola De Cao, Thomas Kipf, Jakub M. Tomczak:
Hyperspherical Variational Auto-Encoders. UAI 2018: 856-865 - [i4]Tim R. Davidson, Luca Falorsi, Nicola De Cao, Thomas Kipf, Jakub M. Tomczak:
Hyperspherical Variational Auto-Encoders. CoRR abs/1804.00891 (2018) - [i3]Nicola De Cao, Thomas Kipf:
MolGAN: An implicit generative model for small molecular graphs. CoRR abs/1805.11973 (2018) - [i2]Luca Falorsi, Pim de Haan, Tim R. Davidson, Nicola De Cao, Maurice Weiler, Patrick Forré, Taco S. Cohen:
Explorations in Homeomorphic Variational Auto-Encoding. CoRR abs/1807.04689 (2018) - [i1]Nicola De Cao, Wilker Aziz, Ivan Titov:
Question Answering by Reasoning Across Documents with Graph Convolutional Networks. CoRR abs/1808.09920 (2018)
Coauthor Index
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