← Authors

Douwe Kiela

101 papers · 2013–2025 · 11 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (11) πŸ—ΊοΈ Taxonomy Completionist (134) 🌈 Renaissance Researcher (10) 🐝 Cross-Pollinator (10) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (12) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (4) 🏠 Conference Loyalist (21) πŸ† Grand Slam πŸ‘₯ Mega-Team (47) 🌱 Topic Pioneer πŸ‘‘ Triple Crown πŸ† Keyword Champion 🀝 Dynamic Duo (16) ⚑ Prolific Year (26) ❓ The Questioner (4) πŸ’Ž Century Club (101) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (13) πŸ—ƒοΈ Keyword Collector (340) πŸš€ Conference Pioneer

Conferences

EMNLP (29) ACL (21) IJCNLP (12) NIPS (10) ICLR (8) NAACL (6) EACL (5) ICML (4) AAAI (3) CVPR (2) COLING (1)

Top co-authors

Jason Weston (16) Kyunghyun Cho (14) Tristan Thrush (13) Adina Williams (12) Stephen Clark (12) Amanpreet Singh (9) Emily Dinan (7) Robin Jia (7) Siddharth Karamcheti (6) Bertie Vidgen (6)

Research topics

Natural Language Processing (1)

Keywords

natural language inference (8) question answering (7) natural language processing (6) model evaluation (6) multimodal learning (6) adversarial learning (5) multi-agent system (5) data augmentation (5) model robustness (5) language model (5) adversarial training (4) representation learning (4) hate speech detection (4) dialogue system (4) text classification (4) benchmark dataset (4) visual grounding (3) semantic similarity (3) benchmark evaluation (3) transformer architecture (3)

Papers

LMUNIT: Fine-grained Evaluation with Natural Language Unit Tests EMNLP 2025
Great Models Think Alike and this Undermines AI Oversight ICML 2025
OLMoE: Open Mixture-of-Experts Language Models ICLR 2025
Generative Representational Instruction Tuning ICLR 2025
I am a Strange Dataset: Metalinguistic Tests for Language Models ACL 2024
Anchor Points: Benchmarking Models with Much Fewer Examples EACL 2024
Nearest Neighbor Normalization Improves Multimodal Retrieval EMNLP 2024
Model Alignment as Prospect Theoretic Optimization ICML 2024
Leveraging Diffusion Perturbations for Measuring Fairness in Computer Vision AAAI 2024
DataPerf: Benchmarks for Data-Centric AI Development NIPS 2023
Investigating Multi-source Active Learning for Natural Language Inference EACL 2023
OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents NIPS 2023
Perturbation Augmentation for Fairer NLP EMNLP 2022
Analyzing Dynamic Adversarial Training Data in the Limit ACL 2022
Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants NAACL 2022
Dynatask: A Framework for Creating Dynamic AI Benchmark Tasks ACL 2022
FLAVA: A Foundational Language and Vision Alignment Model CVPR 2022
Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality CVPR 2022
I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling ACL 2021
Cross-Modal Retrieval Augmentation for Multi-Modal Classification EMNLP 2021
Reservoir Transformers ACL 2021
On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study ACL 2021
Findings of the WOAH 5 Shared Task on Fine Grained Hateful Memes Detection ACL 2021
Findings of the WMT 2021 Shared Task on Large-Scale Multilingual Machine Translation EMNLP 2021
To what extent do human explanations of model behavior align with actual model behavior? EMNLP 2021
Retrieval Augmentation Reduces Hallucination in Conversation EMNLP 2021
DynaSent: A Dynamic Benchmark for Sentiment Analysis ACL 2021
Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation EMNLP 2021
Gradient-based Adversarial Attacks against Text Transformers EMNLP 2021
What’s Hidden in a One-layer Randomly Weighted Transformer? EMNLP 2021
Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little EMNLP 2021
Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking NIPS 2021
True Few-Shot Learning with Language Models NIPS 2021
Human-Adversarial Visual Question Answering NIPS 2021
Dynabench: Rethinking Benchmarking in NLP NAACL 2021
Findings of the WOAH 5 Shared Task on Fine Grained Hateful Memes Detection IJCNLP 2021
On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study IJCNLP 2021
Reservoir Transformers IJCNLP 2021
DynaSent: A Dynamic Benchmark for Sentiment Analysis IJCNLP 2021
I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling IJCNLP 2021
Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection IJCNLP 2021
Rissanen Data Analysis: Examining Dataset Characteristics via Description Length ICML 2021
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval ICLR 2021
Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection ACL 2021
Adversarial NLI: A New Benchmark for Natural Language Understanding ACL 2020
The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes NIPS 2020
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks NIPS 2020
Learning Optimal Representations with the Decodable Information Bottleneck NIPS 2020
Generating Interactive Worlds with Text AAAI 2020
Multi-Dimensional Gender Bias Classification EMNLP 2020
Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation EMNLP 2020
Unsupervised Question Decomposition for Question Answering EMNLP 2020
On the interaction between supervision and self-play in emergent communication ICLR 2020
Finding Generalizable Evidence by Learning to Convince Q&A Models EMNLP 2019
Emergent Linguistic Phenomena in Multi-Agent Communication Games EMNLP 2019
Countering Language Drift via Visual Grounding EMNLP 2019
Seeded self-play for language learning EMNLP 2019
What makes a good conversation? How controllable attributes affect human judgments NAACL 2019
Analysis of Joint Multilingual Sentence Representations and Semantic K-Nearest Neighbor Graphs AAAI 2019
No Training Required: Exploring Random Encoders for Sentence Classification ICLR 2019
Hyperbolic Graph Neural Networks NIPS 2019
Inferring Concept Hierarchies from Text Corpora via Hyperbolic Embeddings ACL 2019
Learning to Speak and Act in a Fantasy Text Adventure Game IJCNLP 2019
Finding Generalizable Evidence by Learning to Convince Q&A Models IJCNLP 2019
Emergent Linguistic Phenomena in Multi-Agent Communication Games IJCNLP 2019
Countering Language Drift via Visual Grounding IJCNLP 2019
Learning to Speak and Act in a Fantasy Text Adventure Game EMNLP 2019
Learning Visually Grounded Sentence Representations NAACL 2018
Hearst Patterns Revisited: Automatic Hypernym Detection from Large Text Corpora ACL 2018
Learning Continuous Hierarchies in the Lorentz Model of Hyperbolic Geometry ICML 2018
Personalizing Dialogue Agents: I have a dog, do you have pets too? ACL 2018
Code-Switched Named Entity Recognition with Embedding Attention ACL 2018
Emergent Communication in a Multi-Modal, Multi-Step Referential Game ICLR 2018
Emergent Translation in Multi-Agent Communication ICLR 2018
Mastering the Dungeon: Grounded Language Learning by Mechanical Turker Descent ICLR 2018
Dynamic Meta-Embeddings for Improved Sentence Representations EMNLP 2018
Jump to better conclusions: SCAN both left and right EMNLP 2018
Automatically Generating Rhythmic Verse with Neural Networks ACL 2017
Learning to Negate Adjectives with Bilinear Models EACL 2017
Grasping the Finer Point: A Supervised Similarity Network for Metaphor Detection EMNLP 2017
Evaluation by Association: A Systematic Study of Quantitative Word Association Evaluation EACL 2017
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data EMNLP 2017
PoincarΓ© Embeddings for Learning Hierarchical Representations NIPS 2017
Multimodal Learning and Reasoning ACL 2016
Multi-Modal Representations for Improved Bilingual Lexicon Learning ACL 2016
Robust Text Classification for Sparsely Labelled Data Using Multi-level Embeddings COLING 2016
Black Holes and White Rabbits: Metaphor Identification with Visual Features NAACL 2016
Comparing Data Sources and Architectures for Deep Visual Representation Learning in Semantics EMNLP 2016
Vision and Feature Norms: Improving automatic feature norm learning through cross-modal maps NAACL 2016
MMFeat: A Toolkit for Extracting Multi-Modal Features ACL 2016
Grounding Semantics in Olfactory Perception IJCNLP 2015
Exploiting Image Generality for Lexical Entailment Detection ACL 2015
Exploiting Image Generality for Lexical Entailment Detection IJCNLP 2015
Grounding Semantics in Olfactory Perception ACL 2015
Multi- and Cross-Modal Semantics Beyond Vision: Grounding in Auditory Perception EMNLP 2015
Specializing Word Embeddings for Similarity or Relatedness EMNLP 2015
Visual Bilingual Lexicon Induction with Transferred ConvNet Features EMNLP 2015
Learning Image Embeddings using Convolutional Neural Networks for Improved Multi-Modal Semantics EMNLP 2014
Improving Multi-Modal Representations Using Image Dispersion: Why Less is Sometimes More ACL 2014
Proceedings of the Student Research Workshop at the 14th Conference of the European Chapter of the Association for Computational Linguistics EACL 2014
Detecting Compositionality of Multi-Word Expressions using Nearest Neighbours in Vector Space Models EMNLP 2013