World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
10377
World Ranking
4861
National Ranking
292

Overview

Ivan Vulić is affiliated with the University of Cambridge in the United Kingdom. Their research is primarily situated in the field of computer science, with a particular focus on artificial intelligence. Publications also span related subfields such as computer vision and pattern recognition, computer networks and communications, information systems, and molecular biology.

The scientist's work covers various topics including:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Speech and Dialogue Systems
  • Multimodal Machine Learning Applications
  • Text Readability and Simplification
  • Domain Adaptation and Few-Shot Learning
  • Speech Recognition and Synthesis

Recent publications by Ivan Vulić include:

  • Multi-SimLex: A Large-Scale Evaluation of Multilingual and Crosslingual Lexical Semantic Similarity, 2020, Computational Linguistics
  • Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • Composable Sparse Fine-Tuning for Cross-Lingual Transfer, 2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • On cross-lingual retrieval with multilingual text encoders, 2022, Information Retrieval
  • Wireless Sensor Network in Agriculture: Model of Cyber Security, 2020, Sensors

Ivan Vulić has collaborated frequently with several coauthors, including:

  • Anna Korhonen
  • Goran Glavaš
  • Edoardo Maria Ponti
  • Nigel Collier
  • Jonas Pfeiffer

The most common venues for Ivan Vulić's publications are:

  • arXiv (Cornell University)
  • Transactions of the Association for Computational Linguistics
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Apollo (University of Cambridge)

Best Publications

  • A Survey Of Cross-lingual Word Embedding Models

    Sebastian Ruder;Ivan Vulić;Anders Søgaard

  • MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer

    Jonas Pfeiffer;Ivan Vulić;Iryna Gurevych;Sebastian Ruder

  • Monolingual and Cross-Lingual Information Retrieval Models Based on (Bilingual) Word Embeddings

    Ivan Vulić;Marie-Francine Moens

  • Hello, It’s GPT-2 - How Can I Help You? Towards the Use of Pretrained Language Models for Task-Oriented Dialogue Systems

    Paweł Budzianowski;Ivan Vulić

  • On the Limitations of Unsupervised Bilingual Dictionary Induction

    Anders Søgaard;Sebastian Ruder;Ivan Vulić

  • SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity

    Daniela Gerz;Ivan Vulic;Felix Hill;Roi Reichart

  • From zero to hero: On the limitations of zero-shot language transfer with multilingual transformers

    Anne Lauscher;Vinit Ravishankar;Ivan Vulić;Goran Glavaš

  • Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints

    Nikola Mrksic;Nikola Mrksic;Ivan Vulic;Diarmuid Ó Séaghdha;Ira Leviant

  • JW300: A Wide-Coverage Parallel Corpus for Low-Resource Languages

    Željko Agić;Ivan Vulić

  • How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some Misconceptions

    Goran Glavas;Robert Litschko;Sebastian Ruder;Ivan Vulic

  • Probing Pretrained Language Models for Lexical Semantics

    Ivan Vulić;Edoardo Maria Ponti;Robert Litschko;Goran Glavaš

  • ConveRT: Efficient and Accurate Conversational Representations from Transformers

    Matthew Henderson;Iñigo Casanueva;Nikola Mrkšić;Pei-Hao Su

  • Bilingual Word Embeddings from Non-Parallel Document-Aligned Data Applied to Bilingual Lexicon Induction

    Ivan Vulić;Marie-Francine Moens

  • Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing

    Edoardo Maria Ponti;Helen O’Horan;Yevgeni Berzak;Ivan Vulić

  • How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models

    Phillip Rust;Jonas Pfeiffer;Ivan Vuli;Sebastian Ruder

  • Skip N-grams and Ranking Functions for Predicting Script Events

    Bram Jans;Steven Bethard;Ivan Vulić;Marie-Francine Moens

  • Probabilistic topic modeling in multilingual settings: An overview of its methodology and applications

    Ivan Vulić;Wim De Smet;Jie Tang;Marie-Francine Moens

  • Identifying Word Translations from Comparable Corpora Using Latent Topic Models

    Ivan Vulić;Wim De Smet;Marie-Francine Moens

  • Bilingual distributed word representations from document-aligned comparable data

    Ivan Vulic;Marie-Francine Moens

  • Do We Really Need Fully Unsupervised Cross-Lingual Embeddings?

    Ivan Vulić;Goran Glavaš;Roi Reichart;Anna Korhonen

  • Unsupervised Cross-Lingual Representation Learning

    Sebastian Ruder;Anders Søgaard;Ivan Vulić

  • Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints

    Nikola Mrkšić;Ivan Vulić;Diarmuid Ó Séaghdha;Ira Leviant

Frequent Co-Authors

Anna Korhonen
Anna Korhonen University of Cambridge
Roi Reichart
Roi Reichart Technion – Israel Institute of Technology
Sebastian Ruder
Sebastian Ruder Google (United States)
Nikola Mrksic
Nikola Mrksic PolyAI Limited
Anders Søgaard
Anders Søgaard University of Copenhagen
Simone Paolo Ponzetto
Simone Paolo Ponzetto University of Mannheim
Diana McCarthy
Diana McCarthy University of Cambridge
Iryna Gurevych
Iryna Gurevych Technical University of Darmstadt
Douwe Kiela
Douwe Kiela Stanford University

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