ELS: a word-level method for entity-level sentiment analysis. - Nikos Engonopoulos; Angeliki Lazaridou; Georgios Paliouras; Konstantinos Chandrinos (WIMS, 2011)

Compositional-ly Derived Representations of Morphologically Complex Words in Distributional Semantics. - Angeliki Lazaridou; Marco Marelli; Roberto Zamparelli; Marco Baroni (ACL (1), 2013)

A Bayesian Model for Joint Unsupervised Induction of Sentiment, Aspect and Discourse Representations. - Angeliki Lazaridou; Ivan Titov 001; Caroline Sporleder (ACL (1), 2013)

Fish Transporters and Miracle Homes: How Compositional Distributional Semantics can Help NP Parsing. - Angeliki Lazaridou; Eva Maria Vecchi; Marco Baroni (EMNLP, 2013)

Coloring Objects: Adjective-Noun Visual Semantic Compositionality. - Dat Tien Nguyen; Angeliki Lazaridou; Raffaella Bernardi (VL@COLING, 2014)

Is this a wampimuk? Cross-modal mapping between distributional semantics and the visual world. - Angeliki Lazaridou; Elia Bruni; Marco Baroni (ACL (1), 2014)

Cross-Language Authorship Attribution. - Dasha Bogdanova; Angeliki Lazaridou (LREC, 2014)

Do Distributed Semantic Models Dream of Electric Sheep? Visualizing Word Representations through Image Synthesis. - Angeliki Lazaridou; Dat Tien Nguyen; Marco Baroni (VL@EMNLP, 2015)

Hubness and Pollution: Delving into Cross-Space Mapping for Zero-Shot Learning. - Angeliki Lazaridou; Georgiana Dinu; Marco Baroni (ACL (1), 2015)

Jointly optimizing word representations for lexical and sentential tasks with the C-PHRASE model. - Nghia The Pham; Germán Kruszewski; Angeliki Lazaridou; Marco Baroni (ACL (1), 2015)

A Multitask Objective to Inject Lexical Contrast into Distributional Semantics. - Nghia The Pham; Angeliki Lazaridou; Marco Baroni (ACL (2), 2015)

Combining Language and Vision with a Multimodal Skip-gram Model. - Angeliki Lazaridou; Nghia The Pham; Marco Baroni (HLT-NAACL, 2015)

Unveiling the Dreams of Word Embeddings: Towards Language-Driven Image Generation. - Angeliki Lazaridou; Dat Tien Nguyen; Raffaella Bernardi; Marco Baroni (CoRR, 2015)

From Visual Attributes to Adjectives through Decompositional Distributional Semantics. - Angeliki Lazaridou; Georgiana Dinu; Adam Liska; Marco Baroni (Trans. Assoc. Comput. Linguistics, 2015)

The red one!: On learning to refer to things based on discriminative properties. - Angeliki Lazaridou; Nghia The Pham; Marco Baroni (ACL (2), 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 (ACL (1), 2016)

"Look, some Green Circles!": Learning to Quantify from Images. - Ionut Sorodoc; Angeliki Lazaridou; Gemma Boleda; Aurélie Herbelot; Sandro Pezzelle; Raffaella Bernardi (VL@ACL, 2016)

Multimodal Semantic Learning from Child-Directed Input. - Angeliki Lazaridou; Grzegorz Chrupala; Raquel Fernández; Marco Baroni (HLT-NAACL, 2016)

The red one!: On learning to refer to things based on their discriminative properties. - Angeliki Lazaridou; Nghia The Pham; Marco Baroni (CoRR, 2016)

Towards Multi-Agent Communication-Based Language Learning. - Angeliki Lazaridou; Nghia The Pham; Marco Baroni (CoRR, 2016)

CommAI: Evaluating the first steps towards a useful general AI. - Marco Baroni; Armand Joulin; Allan Jabri; Germán Kruszewski; Angeliki Lazaridou; Klemen Simonic; Tomás Mikolov (ICLR (Workshop), 2017)

Multi-Agent Cooperation and the Emergence of (Natural) Language. - Angeliki Lazaridou; Alexander Peysakhovich; Marco Baroni (ICLR, 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 001; Thore Graepel (NIPS, 2017)

The RepEval 2017 Shared Task: Multi-Genre Natural Language Inference with Sentence Representations. - Nikita Nangia; Adina Williams; Angeliki Lazaridou; Samuel R. Bowman (RepEval@EMNLP, 2017)

Emergent Communication through Negotiation. - Kris Cao; Angeliki Lazaridou; Marc Lanctot; Joel Z. Leibo; Karl Tuyls; Stephen Clark (ICLR (Poster), 2018)

Compositional Obverter Communication Learning from Raw Visual Input. - Edward Choi 003; Angeliki Lazaridou; Nando de Freitas (ICLR (Poster), 2018)

Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Input. - Angeliki Lazaridou; Karl Moritz Hermann; Karl Tuyls; Stephen Clark (ICLR, 2018)

Intrinsic Social Motivation via Causal Influence in Multi-Agent RL. - Natasha Jaques; Angeliki Lazaridou; Edward Hughes 001; Çaglar Gülçehre; Pedro A. Ortega; DJ Strouse; Joel Z. Leibo; Nando de Freitas (CoRR, 2018)

Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning. - Natasha Jaques; Angeliki Lazaridou; Edward Hughes 001; Çaglar Gülçehre; Pedro A. Ortega; DJ Strouse; Joel Z. Leibo; Nando de Freitas (ICML, 2019)

Biases for Emergent Communication in Multi-agent Reinforcement Learning. - Tom Eccles; Yoram Bachrach; Guy Lever; Angeliki Lazaridou; Thore Graepel (NeurIPS, 2019)

Structural and functional learning for learning language use. - Angeliki Lazaridou; Anna Potapenko; Olivier Tieleman (ViGIL@NeurIPS, 2019)

Community size effect in artificial learning systems. - Olivier Tieleman; Angeliki Lazaridou; Shibl Mourad; Charles Blundell; Doina Precup (ViGIL@NeurIPS, 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 008; Chris Dyer; Phil Blunsom (CoRR, 2019)

Shaping representations through communication: community size effect in artificial learning systems. - Olivier Tieleman; Angeliki Lazaridou; Shibl Mourad; Charles Blundell; Doina Precup (CoRR, 2019)

Multi-agent Communication meets Natural Language: Synergies between Functional and Structural Language Learning. - Angeliki Lazaridou; Anna Potapenko; Olivier Tieleman (ACL, 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 (EMNLP (1), 2020)

Negotiating team formation using deep reinforcement learning. - Yoram Bachrach; Richard Everett 001; Edward Hughes 001; Angeliki Lazaridou; Joel Z. Leibo; Marc Lanctot; Michael Johanson; Wojciech M. Czarnecki; Thore Graepel (Artif. Intell., 2020)

Emergent Multi-Agent Communication in the Deep Learning Era. - Angeliki Lazaridou; Marco Baroni (CoRR, 2020)

Emergent Communication under Competition. - Michael Noukhovitch; Travis LaCroix; Angeliki Lazaridou; Aaron C. Courville (AAMAS, 2021)

Dynamic population-based meta-learning for multi-agent communication with natural language. - Abhinav Gupta 002; Marc Lanctot; Angeliki Lazaridou (NeurIPS, 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; et al. (NeurIPS, 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; et al. (CoRR, 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; et al. (CoRR, 2021)

Emergent Communication at Scale. - Rahma Chaabouni 001; Florian Strub; Florent Altché; Eugene Tarassov; Corentin Tallec; Elnaz Davoodi; Kory Wallace Mathewson; Olivier Tieleman; Angeliki Lazaridou; Bilal Piot (ICLR, 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; et al. (ICML, 2022)

Internet-augmented language models through few-shot prompting for open-domain question answering. - Angeliki Lazaridou; Elena Gribovskaya; Wojciech Stokowiec; Nikolai Grigorev (CoRR, 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 001; Arslan Chaudhry; Xu Owen He; Arthur Douillard; Massimo Caccia; Qixuang Feng; Jiajun Shen; Sylvestre-Alvise Rebuffi; et al. (CoRR, 2022)

Revisiting Populations in multi-agent Communication. - Paul Michel; Mathieu Rita; Kory Wallace Mathewson; Olivier Tieleman; Angeliki Lazaridou (ICLR, 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)

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 001; Arslan Chaudhry; Xu Owen He; Arthur Douillard; Massimo Caccia; Qixuan Feng; Jiajun Shen; Sylvestre-Alvise Rebuffi; et al. (J. Mach. Learn. Res., 2023)

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; et al. (CoRR, 2024)

Long-Span Question-Answering: Automatic Question Generation and QA-System Ranking via Side-by-Side Evaluation. - Bernd Bohnet; Kevin Swersky; Rosanne Liu; Pranjal Awasthi; Azade Nova; Javier Snaider; Hanie Sedghi; Aaron T. Parisi; Michael Collins 001; Angeliki Lazaridou; Orhan Firat; Noah Fiedel (CoRR, 2024)

Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure Queries. - Kiran Vodrahalli; Santiago Ontanon; Nilesh Tripuraneni; Kelvin Xu; Sanil Jain; Rakesh Shivanna; Jeffrey Hui; Nishanth Dikkala; Mehran Kazemi; Bahare Fatemi; Rohan Anil; Ethan Dyer; et al. (CoRR, 2024)