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2020 – today
- 2024
[i35]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.:
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context. CoRR abs/2403.05530 (2024)- [i34]Bernd Bohnet, Kevin Swersky, Rosanne Liu, Pranjal Awasthi, Azade Nova, Javier Snaider, Hanie Sedghi, Aaron T. Parisi, Michael Collins, Angeliki Lazaridou, Orhan Firat, Noah Fiedel:
Long-Span Question-Answering: Automatic Question Generation and QA-System Ranking via Side-by-Side Evaluation. CoRR abs/2406.00179 (2024) - [i33]Kiran Vodrahalli, Santiago Ontanon, Nilesh Tripuraneni, Kelvin Xu, Sanil Jain, Rakesh Shivanna, Jeffrey Hui, Nishanth Dikkala, Mehran Kazemi, Bahare Fatemi, Rohan Anil, Ethan Dyer, Siamak Shakeri, Roopali Vij, Harsh Mehta, Vinay V. Ramasesh, Quoc Le, Ed H. Chi, Yifeng Lu, Orhan Firat, Angeliki Lazaridou, Jean-Baptiste Lespiau, Nithya Attaluri, Kate Olszewska:
Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure Queries. CoRR abs/2409.12640 (2024) - 2023
- [j3]Jörg Bornschein, Alexandre Galashov, Ross Hemsley, Amal Rannen-Triki, Yutian Chen, Arslan Chaudhry, Xu Owen He, Arthur Douillard, Massimo Caccia, Qixuan 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:
Nevis'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research. J. Mach. Learn. Res. 24: 308:1-308:77 (2023) - [c33]Paul Michel, Mathieu Rita, Kory Wallace Mathewson, Olivier Tieleman, Angeliki Lazaridou:
Revisiting Populations in multi-agent Communication. ICLR 2023 - [i32]Adam Fisch, Amal Rannen-Triki, Razvan Pascanu, Jörg Bornschein, Angeliki Lazaridou, Elena Gribovskaya, Marc'Aurelio Ranzato:
Towards Robust and Efficient Continual Language Learning. CoRR abs/2307.05741 (2023) - [i31]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.:
Gemini: A Family of Highly Capable Multimodal Models. CoRR abs/2312.11805 (2023) - 2022
- [c32]Rahma Chaabouni, Florian Strub, Florent Altché, Eugene Tarassov, Corentin Tallec, Elnaz Davoodi, Kory Wallace Mathewson, Olivier Tieleman, Angeliki Lazaridou, Bilal Piot:
Emergent Communication at Scale. ICLR 2022 - [c31]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:
StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models. ICML 2022: 13604-13622 - [e2]Yunyao Li, Angeliki Lazaridou:
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7 - 11, 2022. Association for Computational Linguistics 2022, ISBN 978-1-952148-25-5 [contents] - [i30]Angeliki Lazaridou, Elena Gribovskaya, Wojciech Stokowiec, Nikolai Grigorev:
Internet-augmented language models through few-shot prompting for open-domain question answering. CoRR abs/2203.05115 (2022) - [i29]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:
StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models. CoRR abs/2205.11388 (2022) - [i28]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:
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research. CoRR abs/2211.11747 (2022) - 2021
- [c30]Michael Noukhovitch, Travis LaCroix, Angeliki Lazaridou, Aaron C. Courville:
Emergent Communication under Competition. AAMAS 2021: 974-982 - [c29]Abhinav Gupta, Marc Lanctot, Angeliki Lazaridou:
Dynamic population-based meta-learning for multi-agent communication with natural language. NeurIPS 2021: 16899-16912 - [c28]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:
Mind the Gap: Assessing Temporal Generalization in Neural Language Models. NeurIPS 2021: 29348-29363 - [i27]Michael Noukhovitch, Travis LaCroix, Angeliki Lazaridou, Aaron C. Courville:
Emergent Communication under Competition. CoRR abs/2101.10276 (2021) - [i26]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:
Pitfalls of Static Language Modelling. CoRR abs/2102.01951 (2021) - [i25]Abhinav Gupta, Marc Lanctot, Angeliki Lazaridou:
Dynamic population-based meta-learning for multi-agent communication with natural language. CoRR abs/2110.14241 (2021) - [i24]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:
Scaling Language Models: Methods, Analysis & Insights from Training Gopher. CoRR abs/2112.11446 (2021) - 2020
- [j2]Yoram Bachrach
, Richard Everett, Edward Hughes, Angeliki Lazaridou, Joel Z. Leibo, Marc Lanctot, Michael Johanson, Wojciech M. Czarnecki, Thore Graepel:
Negotiating team formation using deep reinforcement learning. Artif. Intell. 288: 103356 (2020) - [c27]Angeliki Lazaridou, Anna Potapenko, Olivier Tieleman:
Multi-agent Communication meets Natural Language: Synergies between Functional and Structural Language Learning. ACL 2020: 7663-7674 - [c26]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:
Experience Grounds Language. EMNLP (1) 2020: 8718-8735 - [i23]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:
Experience Grounds Language. CoRR abs/2004.10151 (2020) - [i22]Angeliki Lazaridou, Anna Potapenko, Olivier Tieleman:
Multi-agent Communication meets Natural Language: Synergies between Functional and Structural Language Learning. CoRR abs/2005.07064 (2020) - [i21]Angeliki Lazaridou, Marco Baroni:
Emergent Multi-Agent Communication in the Deep Learning Era. CoRR abs/2006.02419 (2020) - [i20]Yoram Bachrach, Richard Everett, Edward Hughes, Angeliki Lazaridou, Joel Z. Leibo, Marc Lanctot, Michael Johanson, Wojciech M. Czarnecki, Thore Graepel:
Negotiating Team Formation Using Deep Reinforcement Learning. CoRR abs/2010.10380 (2020)
2010 – 2019
- 2019
- [c25]Natasha Jaques, Angeliki Lazaridou, Edward Hughes, Çaglar Gülçehre, Pedro A. Ortega, DJ Strouse, Joel Z. Leibo, Nando de Freitas:
Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning. ICML 2019: 3040-3049 - [c24]Tom Eccles, Yoram Bachrach, Guy Lever, Angeliki Lazaridou, Thore Graepel:
Biases for Emergent Communication in Multi-agent Reinforcement Learning. NeurIPS 2019: 13111-13121 - [i19]Angeliki Lazaridou, Anna Potapenko, Olivier Tieleman:
Structural and functional learning for learning language use. ViGIL@NeurIPS 2019 - [i18]Olivier Tieleman, Angeliki Lazaridou, Shibl Mourad, Charles Blundell, Doina Precup:
Community size effect in artificial learning systems. ViGIL@NeurIPS 2019 - [i17]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:
Learning and Evaluating General Linguistic Intelligence. CoRR abs/1901.11373 (2019) - [i16]Tom Eccles, Yoram Bachrach, Guy Lever, Angeliki Lazaridou, Thore Graepel:
Biases for Emergent Communication in Multi-agent Reinforcement Learning. CoRR abs/1912.05676 (2019) - [i15]Olivier Tieleman, Angeliki Lazaridou, Shibl Mourad, Charles Blundell, Doina Precup:
Shaping representations through communication: community size effect in artificial learning systems. CoRR abs/1912.06208 (2019) - 2018
- [c23]Kris Cao, Angeliki Lazaridou, Marc Lanctot, Joel Z. Leibo, Karl Tuyls, Stephen Clark:
Emergent Communication through Negotiation. ICLR (Poster) 2018 - [c22]Edward Choi, Angeliki Lazaridou, Nando de Freitas:
Compositional Obverter Communication Learning from Raw Visual Input. ICLR (Poster) 2018 - [c21]Angeliki Lazaridou, Karl Moritz Hermann, Karl Tuyls, Stephen Clark:
Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Input. ICLR 2018 - [i14]Edward Choi, Angeliki Lazaridou, Nando de Freitas:
Compositional Obverter Communication Learning From Raw Visual Input. CoRR abs/1804.02341 (2018) - [i13]Kris Cao, Angeliki Lazaridou, Marc Lanctot, Joel Z. Leibo, Karl Tuyls, Stephen Clark:
Emergent Communication through Negotiation. CoRR abs/1804.03980 (2018) - [i12]Angeliki Lazaridou, Karl Moritz Hermann, Karl Tuyls, Stephen Clark:
Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Input. CoRR abs/1804.03984 (2018) - [i11]Natasha Jaques, Angeliki Lazaridou, Edward Hughes, Çaglar Gülçehre, Pedro A. Ortega, DJ Strouse, Joel Z. Leibo, Nando de Freitas:
Intrinsic Social Motivation via Causal Influence in Multi-Agent RL. CoRR abs/1810.08647 (2018) - 2017
- [c20]Marco Baroni, Armand Joulin, Allan Jabri, Germán Kruszewski, Angeliki Lazaridou, Klemen Simonic, Tomás Mikolov:
CommAI: Evaluating the first steps towards a useful general AI. ICLR (Workshop) 2017 - [c19]Angeliki Lazaridou, Alexander Peysakhovich, Marco Baroni:
Multi-Agent Cooperation and the Emergence of (Natural) Language. ICLR 2017 - [c18]Marc Lanctot, Vinícius Flores Zambaldi, Audrunas Gruslys, Angeliki Lazaridou, Karl Tuyls, Julien Pérolat, David Silver, Thore Graepel:
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning. NIPS 2017: 4190-4203 - [c17]Nikita Nangia, Adina Williams, Angeliki Lazaridou, Samuel R. Bowman:
The RepEval 2017 Shared Task: Multi-Genre Natural Language Inference with Sentence Representations. RepEval@EMNLP 2017: 1-10 - [e1]Samuel R. Bowman, Yoav Goldberg, Felix Hill, Angeliki Lazaridou, Omer Levy, Roi Reichart, Anders Søgaard:
Proceedings of the 2nd Workshop on Evaluating Vector Space Representations for NLP, RepEval@EMNLP 2017, Copenhagen, Denmark, September 8, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-90-6 [contents] - [i10]Marco Baroni, Armand Joulin, Allan Jabri, Germán Kruszewski, Angeliki Lazaridou, Klemen Simonic, Tomás Mikolov:
CommAI: Evaluating the first steps towards a useful general AI. CoRR abs/1701.08954 (2017) - [i9]Nikita Nangia, Adina Williams, Angeliki Lazaridou, Samuel R. Bowman:
The RepEval 2017 Shared Task: Multi-Genre Natural Language Inference with Sentence Representations. CoRR abs/1707.08172 (2017) - [i8]Marc Lanctot, Vinícius Flores Zambaldi, Audrunas Gruslys, Angeliki Lazaridou, Karl Tuyls, Julien Pérolat, David Silver, Thore Graepel:
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning. CoRR abs/1711.00832 (2017) - 2016
- [c16]Angeliki Lazaridou, Nghia The Pham, Marco Baroni:
The red one!: On learning to refer to things based on discriminative properties. ACL (2) 2016 - [c15]Denis Paperno, Germán Kruszewski, Angeliki Lazaridou, Quan Ngoc Pham, Raffaella Bernardi, Sandro Pezzelle, Marco Baroni, Gemma Boleda, Raquel Fernández:
The LAMBADA dataset: Word prediction requiring a broad discourse context. ACL (1) 2016 - [c14]Ionut Sorodoc, Angeliki Lazaridou, Gemma Boleda, Aurélie Herbelot, Sandro Pezzelle, Raffaella Bernardi:
"Look, some Green Circles!": Learning to Quantify from Images. VL@ACL 2016 - [c13]Angeliki Lazaridou, Grzegorz Chrupala, Raquel Fernández, Marco Baroni:
Multimodal Semantic Learning from Child-Directed Input. HLT-NAACL 2016: 387-392 - [i7]Angeliki Lazaridou, Nghia The Pham, Marco Baroni:
The red one!: On learning to refer to things based on their discriminative properties. CoRR abs/1603.02618 (2016) - [i6]Angeliki Lazaridou, Nghia The Pham, Marco Baroni:
Towards Multi-Agent Communication-Based Language Learning. CoRR abs/1605.07133 (2016) - [i5]Denis Paperno, Germán Kruszewski, Angeliki Lazaridou, Quan Ngoc Pham, Raffaella Bernardi, Sandro Pezzelle, Marco Baroni, Gemma Boleda, Raquel Fernández:
The LAMBADA dataset: Word prediction requiring a broad discourse context. CoRR abs/1606.06031 (2016) - [i4]Angeliki Lazaridou, Alexander Peysakhovich, Marco Baroni:
Multi-Agent Cooperation and the Emergence of (Natural) Language. CoRR abs/1612.07182 (2016) - 2015
- [j1]Angeliki Lazaridou, Georgiana Dinu, Adam Liska, Marco Baroni:
From Visual Attributes to Adjectives through Decompositional Distributional Semantics. Trans. Assoc. Comput. Linguistics 3: 183-196 (2015) - [c12]Nghia The Pham, Angeliki Lazaridou, Marco Baroni:
A Multitask Objective to Inject Lexical Contrast into Distributional Semantics. ACL (2) 2015: 21-26 - [c11]Angeliki Lazaridou, Georgiana Dinu, Marco Baroni:
Hubness and Pollution: Delving into Cross-Space Mapping for Zero-Shot Learning. ACL (1) 2015: 270-280 - [c10]Nghia The Pham, Germán Kruszewski, Angeliki Lazaridou, Marco Baroni:
Jointly optimizing word representations for lexical and sentential tasks with the C-PHRASE model. ACL (1) 2015: 971-981 - [c9]Angeliki Lazaridou, Dat Tien Nguyen, Marco Baroni:
Do Distributed Semantic Models Dream of Electric Sheep? Visualizing Word Representations through Image Synthesis. VL@EMNLP 2015: 81-86 - [c8]Angeliki Lazaridou, Nghia The Pham, Marco Baroni:
Combining Language and Vision with a Multimodal Skip-gram Model. HLT-NAACL 2015: 153-163 - [i3]Angeliki Lazaridou, Nghia The Pham, Marco Baroni:
Combining Language and Vision with a Multimodal Skip-gram Model. CoRR abs/1501.02598 (2015) - [i2]Angeliki Lazaridou, Georgiana Dinu, Adam Liska, Marco Baroni:
From visual attributes to adjectives through decompositional distributional semantics. CoRR abs/1501.02714 (2015) - [i1]Angeliki Lazaridou, Dat Tien Nguyen, Raffaella Bernardi, Marco Baroni:
Unveiling the Dreams of Word Embeddings: Towards Language-Driven Image Generation. CoRR abs/1506.03500 (2015) - 2014
- [c7]Angeliki Lazaridou, Elia Bruni, Marco Baroni:
Is this a wampimuk? Cross-modal mapping between distributional semantics and the visual world. ACL (1) 2014: 1403-1414 - [c6]Dat Tien Nguyen, Angeliki Lazaridou, Raffaella Bernardi:
Coloring Objects: Adjective-Noun Visual Semantic Compositionality. VL@COLING 2014: 112-114 - [c5]Dasha Bogdanova, Angeliki Lazaridou:
Cross-Language Authorship Attribution. LREC 2014: 2015-2020 - 2013
- [c4]Angeliki Lazaridou, Marco Marelli, Roberto Zamparelli, Marco Baroni:
Compositional-ly Derived Representations of Morphologically Complex Words in Distributional Semantics. ACL (1) 2013: 1517-1526 - [c3]Angeliki Lazaridou, Ivan Titov, Caroline Sporleder:
A Bayesian Model for Joint Unsupervised Induction of Sentiment, Aspect and Discourse Representations. ACL (1) 2013: 1630-1639 - [c2]Angeliki Lazaridou, Eva Maria Vecchi, Marco Baroni:
Fish Transporters and Miracle Homes: How Compositional Distributional Semantics can Help NP Parsing. EMNLP 2013: 1908-1913 - 2011
- [c1]Nikos Engonopoulos, Angeliki Lazaridou, Georgios Paliouras, Konstantinos Chandrinos:
ELS: a word-level method for entity-level sentiment analysis. WIMS 2011: 12
Coauthor Index
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