Angeliki Lazaridou

According to our database, Angeliki Lazaridou authored at least 51 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Machel Reid, Nikolay Savinov, Denis Teplyashin, Dmitry Lepikhin, Timothy P. Lillicrap, Jean-Baptiste Alayrac, Radu Soricut, Angeliki Lazaridou, Orhan Firat, Julian Schrittwieser, Ioannis Antonoglou, Rohan Anil, Sebastian Borgeaud, Andrew M. Dai, Katie Millican, Ethan Dyer, Mia Glaese, Thibault Sottiaux, Benjamin Lee, Fabio Viola, Malcolm Reynolds, Yuanzhong Xu, James Molloy, Jilin Chen, Michael Isard, Paul Barham, Tom Hennigan, Ross McIlroy, Melvin Johnson, Johan Schalkwyk, Eli Collins, Eliza Rutherford, Erica Moreira, Kareem Ayoub, Megha Goel, Clemens Meyer, Gregory Thornton, Zhen Yang, Henryk Michalewski, Zaheer Abbas, Nathan Schucher, Ankesh Anand, Richard Ives, James Keeling, Karel Lenc, Salem Haykal, Siamak Shakeri, Pranav Shyam, Aakanksha Chowdhery, Roman Ring, Stephen Spencer, Eren Sezener, et al.

CoRR, 2024

2023

Gemini: A Family of Highly Capable Multimodal Models.

Rohan Anil, Sebastian Borgeaud, Yonghui Wu, Jean-Baptiste Alayrac, Jiahui Yu, Radu Soricut, Johan Schalkwyk, Andrew M. Dai, Anja Hauth, Katie Millican, David Silver, Slav Petrov, Melvin Johnson, Ioannis Antonoglou, Julian Schrittwieser, Amelia Glaese, Jilin Chen, Emily Pitler, Timothy P. Lillicrap, Angeliki Lazaridou, Orhan Firat, James Molloy, Michael Isard, Paul Ronald Barham, Tom Hennigan, Benjamin Lee, Fabio Viola, Malcolm Reynolds, Yuanzhong Xu, Ryan Doherty, Eli Collins, Clemens Meyer, Eliza Rutherford, Erica Moreira, Kareem Ayoub, Megha Goel, George Tucker, Enrique Piqueras, Maxim Krikun, Iain Barr, Nikolay Savinov, Ivo Danihelka, Becca Roelofs, Anaïs White, Anders Andreassen, Tamara von Glehn, Lakshman Yagati, Mehran Kazemi, Lucas Gonzalez, Misha Khalman, Jakub Sygnowski, et al.

CoRR, 2023

Towards Robust and Efficient Continual Language Learning.

Adam Fisch, Amal Rannen-Triki, Razvan Pascanu, Jörg Bornschein, Angeliki Lazaridou, Elena Gribovskaya, Marc'Aurelio Ranzato

CoRR, 2023

Revisiting Populations in multi-agent Communication.

Paul Michel, Mathieu Rita, Kory Wallace Mathewson, Olivier Tieleman, Angeliki Lazaridou

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research.

Jörg Bornschein, Alexandre Galashov, Ross Hemsley, Amal Rannen-Triki, Yutian Chen, Arslan Chaudhry, Xu Owen He, Arthur Douillard, Massimo Caccia, Qixuang Feng, Jiajun Shen, Sylvestre-Alvise Rebuffi, Kitty Stacpoole, Diego de Las Casas, Will Hawkins, Angeliki Lazaridou, Yee Whye Teh, Andrei A. Rusu, Razvan Pascanu, Marc'Aurelio Ranzato

CoRR, 2022

Internet-augmented language models through few-shot prompting for open-domain question answering.

Angeliki Lazaridou, Elena Gribovskaya, Wojciech Stokowiec, Nikolai Grigorev

CoRR, 2022

StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models.

Adam Liska, Tomás Kociský, Elena Gribovskaya, Tayfun Terzi, Eren Sezener, Devang Agrawal, Cyprien de Masson d'Autume, Tim Scholtes, Manzil Zaheer, Susannah Young, Ellen Gilsenan-McMahon, Sophia Austin, Phil Blunsom, Angeliki Lazaridou

Proceedings of the International Conference on Machine Learning, 2022

Emergent Communication at Scale.

Rahma Chaabouni, Florian Strub, Florent Altché, Eugene Tarassov, Corentin Tallec, Elnaz Davoodi, Kory Wallace Mathewson, Olivier Tieleman, Angeliki Lazaridou, Bilal Piot

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Scaling Language Models: Methods, Analysis & Insights from Training Gopher.

Jack W. Rae, Sebastian Borgeaud, Trevor Cai, Katie Millican, Jordan Hoffmann, H. Francis Song, John Aslanides, Sarah Henderson, Roman Ring, Susannah Young, Eliza Rutherford, Tom Hennigan, Jacob Menick, Albin Cassirer, Richard Powell, George van den Driessche, Lisa Anne Hendricks, Maribeth Rauh, Po-Sen Huang, Amelia Glaese, Johannes Welbl, Sumanth Dathathri, Saffron Huang, Jonathan Uesato, John Mellor, Irina Higgins, Antonia Creswell, Nat McAleese, Amy Wu, Erich Elsen, Siddhant M. Jayakumar, Elena Buchatskaya, David Budden, Esme Sutherland, Karen Simonyan, Michela Paganini, Laurent Sifre, Lena Martens, Xiang Lorraine Li, Adhiguna Kuncoro, Aida Nematzadeh, Elena Gribovskaya, Domenic Donato, Angeliki Lazaridou, Arthur Mensch, Jean-Baptiste Lespiau, Maria Tsimpoukelli, Nikolai Grigorev, Doug Fritz, Thibault Sottiaux, Mantas Pajarskas, Toby Pohlen, Zhitao Gong, Daniel Toyama, Cyprien de Masson d'Autume, Yujia Li, Tayfun Terzi, Vladimir Mikulik, Igor Babuschkin, Aidan Clark, Diego de Las Casas, Aurelia Guy, Chris Jones, James Bradbury, Matthew J. Johnson, Blake A. Hechtman, Laura Weidinger, Iason Gabriel, William Isaac, Edward Lockhart, Simon Osindero, Laura Rimell, Chris Dyer, Oriol Vinyals, Kareem Ayoub, Jeff Stanway, Lorrayne Bennett, Demis Hassabis, Koray Kavukcuoglu, Geoffrey Irving

CoRR, 2021

Pitfalls of Static Language Modelling.

Angeliki Lazaridou, Adhiguna Kuncoro, Elena Gribovskaya, Devang Agrawal, Adam Liska, Tayfun Terzi, Mai Gimenez, Cyprien de Masson d'Autume, Sebastian Ruder, Dani Yogatama, Kris Cao, Tomás Kociský, Susannah Young, Phil Blunsom

CoRR, 2021

Mind the Gap: Assessing Temporal Generalization in Neural Language Models.

Angeliki Lazaridou, Adhiguna Kuncoro, Elena Gribovskaya, Devang Agrawal, Adam Liska, Tayfun Terzi, Mai Gimenez, Cyprien de Masson d'Autume, Tomás Kociský, Sebastian Ruder, Dani Yogatama, Kris Cao, Susannah Young, Phil Blunsom

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Dynamic population-based meta-learning for multi-agent communication with natural language.

Abhinav Gupta, Marc Lanctot, Angeliki Lazaridou

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Emergent Communication under Competition.

Michael Noukhovitch, Travis LaCroix, Angeliki Lazaridou, Aaron C. Courville

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

Emergent Multi-Agent Communication in the Deep Learning Era.

Angeliki Lazaridou, Marco Baroni

CoRR, 2020

Negotiating team formation using deep reinforcement learning.

Yoram Bachrach, Richard Everett, Edward Hughes, Angeliki Lazaridou, Joel Z. Leibo, Marc Lanctot, Michael Johanson, Wojciech M. Czarnecki, Thore Graepel

Artif. Intell., 2020

Experience Grounds Language.

Yonatan Bisk, Ari Holtzman, Jesse Thomason, Jacob Andreas, Yoshua Bengio, Joyce Chai, Mirella Lapata, Angeliki Lazaridou, Jonathan May, Aleksandr Nisnevich, Nicolas Pinto, Joseph P. Turian

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Multi-agent Communication meets Natural Language: Synergies between Functional and Structural Language Learning.

Angeliki Lazaridou, Anna Potapenko, Olivier Tieleman

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Shaping representations through communication: community size effect in artificial learning systems.

Olivier Tieleman, Angeliki Lazaridou, Shibl Mourad, Charles Blundell, Doina Precup

CoRR, 2019

Learning and Evaluating General Linguistic Intelligence.

Dani Yogatama, Cyprien de Masson d'Autume, Jerome T. Connor, Tomás Kociský, Mike Chrzanowski, Lingpeng Kong, Angeliki Lazaridou, Wang Ling, Lei Yu, Chris Dyer, Phil Blunsom

CoRR, 2019

Community size effect in artificial learning systems.

Olivier Tieleman, Angeliki Lazaridou, Shibl Mourad, Charles Blundell, Doina Precup

Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019

Structural and functional learning for learning language use.

Angeliki Lazaridou, Anna Potapenko, Olivier Tieleman

Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019

Biases for Emergent Communication in Multi-agent Reinforcement Learning.

Tom Eccles, Yoram Bachrach, Guy Lever, Angeliki Lazaridou, Thore Graepel

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning.

Natasha Jaques, Angeliki Lazaridou, Edward Hughes, Çaglar Gülçehre, Pedro A. Ortega, DJ Strouse, Joel Z. Leibo, Nando de Freitas

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Intrinsic Social Motivation via Causal Influence in Multi-Agent RL.

Natasha Jaques, Angeliki Lazaridou, Edward Hughes, Çaglar Gülçehre, Pedro A. Ortega, DJ Strouse, Joel Z. Leibo, Nando de Freitas

CoRR, 2018

Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Input.

Angeliki Lazaridou, Karl Moritz Hermann, Karl Tuyls, Stephen Clark

Proceedings of the 6th International Conference on Learning Representations, 2018

Compositional Obverter Communication Learning from Raw Visual Input.

Edward Choi, Angeliki Lazaridou, Nando de Freitas

Proceedings of the 6th International Conference on Learning Representations, 2018

Emergent Communication through Negotiation.

Kris Cao, Angeliki Lazaridou, Marc Lanctot, Joel Z. Leibo, Karl Tuyls, Stephen Clark

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

The RepEval 2017 Shared Task: Multi-Genre Natural Language Inference with Sentence Representations.

Nikita Nangia, Adina Williams, Angeliki Lazaridou, Samuel R. Bowman

Proceedings of the 2nd Workshop on Evaluating Vector Space Representations for NLP, 2017

A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning.

Marc Lanctot, Vinícius Flores Zambaldi, Audrunas Gruslys, Angeliki Lazaridou, Karl Tuyls, Julien Pérolat, David Silver, Thore Graepel

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Multi-Agent Cooperation and the Emergence of (Natural) Language.

Angeliki Lazaridou, Alexander Peysakhovich, Marco Baroni

Proceedings of the 5th International Conference on Learning Representations, 2017

CommAI: Evaluating the first steps towards a useful general AI.

Marco Baroni, Armand Joulin, Allan Jabri, Germán Kruszewski, Angeliki Lazaridou, Klemen Simonic, Tomás Mikolov

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Towards Multi-Agent Communication-Based Language Learning.

Angeliki Lazaridou, Nghia The Pham, Marco Baroni

CoRR, 2016

The red one!: On learning to refer to things based on their discriminative properties.

Angeliki Lazaridou, Nghia The Pham, Marco Baroni

CoRR, 2016

Multimodal Semantic Learning from Child-Directed Input.

Angeliki Lazaridou, Grzegorz Chrupala, Raquel Fernández, Marco Baroni

Proceedings of the NAACL HLT 2016, 2016

"Look, some Green Circles!": Learning to Quantify from Images.

Ionut Sorodoc, Angeliki Lazaridou, Gemma Boleda, Aurélie Herbelot, Sandro Pezzelle, Raffaella Bernardi

Proceedings of the 5th Workshop on Vision and Language, 2016

The LAMBADA dataset: Word prediction requiring a broad discourse context.

Denis Paperno, Germán Kruszewski, Angeliki Lazaridou, Quan Ngoc Pham, Raffaella Bernardi, Sandro Pezzelle, Marco Baroni, Gemma Boleda, Raquel Fernández

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

The red one!: On learning to refer to things based on discriminative properties.

Angeliki Lazaridou, Nghia The Pham, Marco Baroni

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

From Visual Attributes to Adjectives through Decompositional Distributional Semantics.

Angeliki Lazaridou, Georgiana Dinu, Adam Liska, Marco Baroni

Trans. Assoc. Comput. Linguistics, 2015

Unveiling the Dreams of Word Embeddings: Towards Language-Driven Image Generation.

Angeliki Lazaridou, Dat Tien Nguyen, Raffaella Bernardi, Marco Baroni

CoRR, 2015

Combining Language and Vision with a Multimodal Skip-gram Model.

Angeliki Lazaridou, Nghia The Pham, Marco Baroni

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

A Multitask Objective to Inject Lexical Contrast into Distributional Semantics.

Nghia The Pham, Angeliki Lazaridou, Marco Baroni

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Jointly optimizing word representations for lexical and sentential tasks with the C-PHRASE model.

Nghia The Pham, Germán Kruszewski, Angeliki Lazaridou, Marco Baroni

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Hubness and Pollution: Delving into Cross-Space Mapping for Zero-Shot Learning.

Angeliki Lazaridou, Georgiana Dinu, Marco Baroni

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Do Distributed Semantic Models Dream of Electric Sheep? Visualizing Word Representations through Image Synthesis.

Angeliki Lazaridou, Dat Tien Nguyen, Marco Baroni

Proceedings of the Fourth Workshop on Vision and Language, 2015

2014

Cross-Language Authorship Attribution.

Dasha Bogdanova, Angeliki Lazaridou

Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

Is this a wampimuk? Cross-modal mapping between distributional semantics and the visual world.

Angeliki Lazaridou, Elia Bruni, Marco Baroni

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Coloring Objects: Adjective-Noun Visual Semantic Compositionality.

Dat Tien Nguyen, Angeliki Lazaridou, Raffaella Bernardi

Proceedings of the Third Workshop on Vision and Language, 2014

2013

Fish Transporters and Miracle Homes: How Compositional Distributional Semantics can Help NP Parsing.

Angeliki Lazaridou, Eva Maria Vecchi, Marco Baroni

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

A Bayesian Model for Joint Unsupervised Induction of Sentiment, Aspect and Discourse Representations.

Angeliki Lazaridou, Ivan Titov, Caroline Sporleder

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

Compositional-ly Derived Representations of Morphologically Complex Words in Distributional Semantics.

Angeliki Lazaridou, Marco Marelli, Roberto Zamparelli, Marco Baroni

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2011

ELS: a word-level method for entity-level sentiment analysis.

Nikos Engonopoulos, Angeliki Lazaridou, Georgios Paliouras, Konstantinos Chandrinos

Proceedings of the International Conference on Web Intelligence, Mining and Semantics, 2011