World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
5790
World Ranking
12988
National Ranking
5239

Best Publications

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

    Unknown

  • Gemini: A Family of Highly Capable Multimodal Models

    Unknown

  • Improving zero-shot learning by mitigating the hubness problem

    Georgiana Dinu;Angeliki Lazaridou;Marco Baroni

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

    Angeliki Lazaridou;Alexander Peysakhovich;Marco Baroni

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

    Denis Paperno;Germán Kruszewski;Angeliki Lazaridou;Quan Ngoc Pham

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

    Natasha Jaques;Angeliki Lazaridou;Edward Hughes;Çaglar Gülçehre

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

    Unknown

  • Learning and Evaluating General Linguistic Intelligence.

    Dani Yogatama;Cyprien de Masson d'Autume;Jerome T. Connor;Tomás Kociský

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

    Angeliki Lazaridou;Georgiana Dinu;Marco Baroni

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

    Angeliki Lazaridou;Elia Bruni;Marco Baroni

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

    Angeliki Lazaridou;Marco Marelli;Roberto Zamparelli;Marco Baroni

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

    Denis Paperno;Germán Kruszewski;Angeliki Lazaridou;Quan Ngoc Pham

  • A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning

    Marc Lanctot;Vinicius Zambaldi;Audrunas Gruslys;Angeliki Lazaridou

  • Multimodal word meaning induction from minimal exposure to natural text

    Angeliki Lazaridou;Marco Marelli;Marco Baroni

  • Experience Grounds Language

    Yonatan Bisk;Ari Holtzman;Jesse Thomason;Jacob Andreas

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

    Angeliki Lazaridou;Ivan Titov;Caroline Sporleder

  • Compositional Obverter Communication Learning From Raw Visual Input

    Edward Choi;Angeliki Lazaridou;Nando de Freitas

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

    Unknown

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

    Unknown

  • Improving zero-shot learning by mitigating the hubness problem

    Georgiana Dinu;Angeliki Lazaridou;Marco Baroni

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