Nicola De Cao - RankMe

34 papers A* 2A 2B 1Journal 20Unranked 9

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Learning to Plan and Generate Text with Citations. ACL (1) Constanza Fierro, Reinald Kim Amplayo, Fantine Huot, Nicola De Cao, Joshua Maynez, Shashi Narayan, Mirella Lapata
2024	J	`jnl`	Learning to Plan and Generate Text with Citations. CoRR Constanza Fierro, Reinald Kim Amplayo, Fantine Huot, Nicola De Cao, Joshua Maynez, Shashi Narayan, Mirella Lapata
2024	B	`conf`	Querying Large Language Models with SQL. EDBT Mohammed Saeed, Nicola De Cao, Paolo Papotti
2023	J	`jnl`	Querying Large Language Models with SQL. CoRR Mohammed Saeed, Nicola De Cao, Paolo Papotti
2022	—	`conf`	GenIE: Generative Information Extraction. NAACL-HLT Martin Josifoski, Nicola De Cao, Maxime Peyrard, Fabio Petroni, Robert West
2022	J	`jnl`	Multilingual Autoregressive Entity Linking. Trans. Assoc. Comput. Linguistics Nicola De Cao, Ledell Wu, Kashyap Popat, Mikel Artetxe, Naman Goyal, Mikhail Plekhanov, Luke Zettlemoyer, Nicola Cancedda, Sebastian Riedel, Fabio Petroni
2022	—	`conf`	Sparse Interventions in Language Models with Differentiable Masking. BlackboxNLP@EMNLP Nicola De Cao, Leon Schmid, Dieuwke Hupkes, Ivan Titov
2021	A*	`conf`	Autoregressive Entity Retrieval. ICLR Nicola De Cao, Gautier Izacard, Sebastian Riedel, Fabio Petroni
2021	—	`conf`	Editing Factual Knowledge in Language Models. EMNLP (1) Nicola De Cao, Wilker Aziz, Ivan Titov
2021	J	`jnl`	Editing Factual Knowledge in Language Models. CoRR Nicola De Cao, Wilker Aziz, Ivan Titov
2021	J	`jnl`	GenIE: Generative Information Extraction. CoRR Martin Josifoski, Nicola De Cao, Maxime Peyrard, Robert West
2021	—	`conf`	Highly Parallel Autoregressive Entity Linking with Discriminative Correction. EMNLP (1) Nicola De Cao, Wilker Aziz, Ivan Titov
2021	J	`jnl`	Highly Parallel Autoregressive Entity Linking with Discriminative Correction. CoRR Nicola De Cao, Wilker Aziz, Ivan Titov
2021	A*	`conf`	Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking. ICLR Michael Sejr Schlichtkrull, Nicola De Cao, Ivan Titov
2021	—	`conf`	KILT: a Benchmark for Knowledge Intensive Language Tasks. NAACL-HLT Fabio Petroni, Aleksandra Piktus, Angela Fan, Patrick Lewis, Majid Yazdani, Nicola De Cao, James Thorne, Yacine Jernite, Vladimir Karpukhin, Jean Maillard, Vassilis Plachouras, Tim Rocktäschel, Sebastian Riedel
2021	J	`jnl`	Multilingual Autoregressive Entity Linking. CoRR Nicola De Cao, Ledell Wu, Kashyap Popat, Mikel Artetxe, Naman Goyal, Mikhail Plekhanov, Luke Zettlemoyer, Nicola Cancedda, Sebastian Riedel, Fabio Petroni
2021	J	`jnl`	NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. CoRR 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 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
2021	J	`jnl`	Sparse Interventions in Language Models with Differentiable Masking. CoRR Nicola De Cao, Leon Schmid, Dieuwke Hupkes, Ivan Titov
2020	J	`jnl`	A Memory Efficient Baseline for Open Domain Question Answering. CoRR Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Sebastian Riedel, Edouard Grave
2020	J	`jnl`	Autoregressive Entity Retrieval. CoRR Nicola De Cao, Gautier Izacard, Sebastian Riedel, Fabio Petroni
2020	—	`conf`	How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking. EMNLP (1) Nicola De Cao, Michael Sejr Schlichtkrull, Wilker Aziz, Ivan Titov
2020	J	`jnl`	How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking. CoRR Nicola De Cao, Michael Sejr Schlichtkrull, Wilker Aziz, Ivan Titov
2020	J	`jnl`	Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking. CoRR Michael Sejr Schlichtkrull, Nicola De Cao, Ivan Titov
2020	J	`jnl`	KILT: a Benchmark for Knowledge Intensive Language Tasks. CoRR Fabio Petroni, Aleksandra Piktus, Angela Fan, Patrick Lewis, Majid Yazdani, Nicola De Cao, James Thorne, Yacine Jernite, Vassilis Plachouras, Tim Rocktäschel, Sebastian Riedel
2020	—	`conf`	NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. NeurIPS (Competition and Demos) 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 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
2020	J	`jnl`	The Power Spherical distribution. CoRR Nicola De Cao, Wilker Aziz
2019	A	`conf`	Block Neural Autoregressive Flow. UAI Nicola De Cao, Wilker Aziz, Ivan Titov
2019	J	`jnl`	Block Neural Autoregressive Flow. CoRR Nicola De Cao, Ivan Titov, Wilker Aziz
2019	—	`conf`	Question Answering by Reasoning Across Documents with Graph Convolutional Networks. NAACL-HLT (1) Nicola De Cao, Wilker Aziz, Ivan Titov
2018	J	`jnl`	Explorations in Homeomorphic Variational Auto-Encoding. CoRR Luca Falorsi, Pim de Haan, Tim R. Davidson, Nicola De Cao, Maurice Weiler, Patrick Forré, Taco S. Cohen
2018	A	`conf`	Hyperspherical Variational Auto-Encoders. UAI Tim R. Davidson, Luca Falorsi, Nicola De Cao, Thomas Kipf, Jakub M. Tomczak
2018	J	`jnl`	Hyperspherical Variational Auto-Encoders. CoRR Tim R. Davidson, Luca Falorsi, Nicola De Cao, Thomas Kipf, Jakub M. Tomczak
2018	J	`jnl`	MolGAN: An implicit generative model for small molecular graphs. CoRR Nicola De Cao, Thomas Kipf
2018	J	`jnl`	Question Answering by Reasoning Across Documents with Graph Convolutional Networks. CoRR Nicola De Cao, Wilker Aziz, Ivan Titov