World's Best Scientists 2026 revealed!
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Rising Stars
2025

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Rising Stars

D-Index
57
Citations
17229
World Ranking
188
National Ranking
24

Computer Science

D-Index
57
Citations
16549
World Ranking
3773
National Ranking
1801

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Douwe Kiela is affiliated with Stanford University in the United States and has made contributions primarily in the field of Computer Science, with a focus on Artificial Intelligence.

The researcher's work spans several subfields, including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Control and Systems Engineering
  • Cognitive Neuroscience

The main topics covered in their research include:

  • Topic Modeling
  • Multimodal Machine Learning Applications
  • Natural Language Processing Techniques
  • Domain Adaptation and Few-Shot Learning
  • Adversarial Robustness in Machine Learning
  • Explainable Artificial Intelligence (XAI)
  • Reinforcement Learning in Robotics

Douwe Kiela has published extensively in a variety of venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Science

Recent papers authored or coauthored by Douwe Kiela are:

  • Contextual Personal Intelligence: A New Paradigm for AI That Evolves With You (2025), arXiv (Cornell University)
  • FLAVA: A Foundational Language And Vision Alignment Model (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • True Few-Shot Learning with Language Models (2021), arXiv (Cornell University)
  • Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little (2021), Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Frequent collaborators include:

  • Tristan Thrush
  • Adina Williams
  • Robin Jia
  • Amanpreet Singh
  • Joëlle Pineau

Best Publications

  • Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

    Patrick S. H. Lewis;Ethan Perez;Aleksandra Piktus;Fabio Petroni

  • Supervised learning of universal sentence representations from natural language inference data

    Alexis Conneau;Douwe Kiela;Holger Schwenk;Loïc Barrault

  • Personalizing Dialogue Agents: I have a dog, do you have pets too?

    Saizheng Zhang;Emily Dinan;Jack Urbanek;Arthur Szlam

  • Poincaré Embeddings for Learning Hierarchical Representations

    Maximillian Nickel;Douwe Kiela

  • Adversarial NLI: A New Benchmark for Natural Language Understanding

    Yixin Nie;Adina Williams;Emily Dinan;Mohit Bansal

  • SentEval: An Evaluation Toolkit for Universal Sentence Representations

    Alexis Conneau;Douwe Kiela

  • The Second Conversational Intelligence Challenge (ConvAI2)

    Emily Dinan;Varvara Logacheva;Valentin Malykh;Alexander H. Miller

  • Retrieval Augmentation Reduces Hallucination in Conversation

    Kurt Shuster;Spencer Poff;Moya Chen;Douwe Kiela

  • Learning Image Embeddings using Convolutional Neural Networks for Improved Multi-Modal Semantics

    Douwe Kiela;Léon Bottou

  • What makes a good conversation? How controllable attributes affect human judgments

    Abigail See;Stephen Roller;Douwe Kiela;Jason Weston

  • Black Holes and White Rabbits: Metaphor Identification with Visual Features

    Ekaterina Shutova;Douwe Kiela;Jean Maillard

  • A Systematic Study of Semantic Vector Space Model Parameters

    Douwe Kiela;Stephen Clark

  • True Few-Shot Learning with Language Models

    Ethan Perez;Douwe Kiela;Kyunghyun Cho

  • Dynabench: Rethinking Benchmarking in NLP.

    Douwe Kiela;Max Bartolo;Yixin Nie;Divyansh Kaushik

  • Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little

    Koustuv Sinha;Robin Jia;Dieuwke Hupkes;Joelle Pineau

  • Poincar'e Embeddings for Learning Hierarchical Representations

    Maximilian Nickel;Douwe Kiela

  • The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes

    Douwe Kiela;Hamed Firooz;Aravind Mohan;Vedanuj Goswami

  • Supervised Multimodal Bitransformers for Classifying Images and Text

    Douwe Kiela;Suvrat Bhooshan;Hamed Firooz;Ethan Perez

  • Specializing Word Embeddings for Similarity or Relatedness

    Douwe Kiela;Felix Hill;Stephen Clark

  • Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation

    Emily Dinan;Angela Fan;Adina Williams;Jack Urbanek

  • Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection

    Bertie Vidgen;Tristan Thrush;Zeerak Waseem;Douwe Kiela

  • Hyperbolic Graph Neural Networks

    Qi Liu;Maximilian Nickel;Douwe Kiela

  • Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval

    Wenhan Xiong;Xiang Lorraine Li;Srini Iyer;Jingfei Du

  • Supervised Multimodal Bitransformers for Classifying Images and Text.

    Douwe Kiela;Suvrat Bhooshan;Hamed Firooz;Davide Testuggine

Frequent Co-Authors

Jason Weston
Jason Weston Facebook (United States)
Stephen Clark
Stephen Clark Cambridge Quantum Computing
Arthur Szlam
Arthur Szlam DeepMind (United Kingdom)
Joelle Pineau
Joelle Pineau McGill University
Sebastian Riedel
Sebastian Riedel University College London
Mohit Bansal
Mohit Bansal University of North Carolina at Chapel Hill
Anna Korhonen
Anna Korhonen University of Cambridge
Wen-tau Yih
Wen-tau Yih Facebook (United States)
Felix Hill
Felix Hill Google (United States)
Kyunghyun Cho
Kyunghyun Cho New York University

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