Kiela, Douwe

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Lewis, P., Perez, E., Piktus, A., Petroni, F., Karpukhin, V., Goyal, N., Küttler, H., Lewis, M., Yih, W.-T., Rocktäschel, T., et al. (2020) · arXiv

Safety Systems Engineering in AutonomyEthics and Social Impacts of AI

Cited by 3,101

Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

Conneau, A., Kiela, D., Schwenk, H., Barrault, L., & Bordes, A. (2017) · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 2,049

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

Zhang, S., Dinan, E., Urbanek, J., Szlam, A., Kiela, D., & Weston, J. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Speech and dialogue systemsAI in Service Interactions

Cited by 1,177

Poincaré Embeddings for Learning Hierarchical Representations

Nickel, M., & Kiela, D. (2017) · arXiv

Advanced Graph Neural NetworksTopic Modeling

Cited by 667

Adversarial NLI: A New Benchmark for Natural Language Understanding

Nie, Y., Williams, A., Dinan, E., Bansal, M., Weston, J., & Kiela, D. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 656

Retrieval Augmentation Reduces Hallucination in Conversation

Shuster, K., Poff, S., Chen, M., Kiela, D., & Weston, J. (2021) · Findings of the Association for Computational Linguistics: EMNLP 2021

Speech and dialogue systemsTopic Modeling

Cited by 575

SentEval: An Evaluation Toolkit for Universal Sentence Representations

Conneau, A., & Kiela, D. (2018) · arXiv

Topic ModelingSentiment Analysis and Opinion Mining

Cited by 477

The Second Conversational Intelligence Challenge (ConvAI2)

Dinan, E., Logacheva, V., Malykh, V., Miller, A., Shuster, K., Urbanek, J., Kiela, D., Szlam, A., Serban, I., Lowe, R., et al. (2019) · arXiv

Speech and dialogue systemsAI in Service Interactions

Cited by 355

The hateful memes challenge: Detecting hate speech in multimodal memes

Kiela, D., Firooz, H., Mohan, A., Goswami, V., Singh, A., Ringshia, P., & Testuggine, D. (2020) · arXiv

Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining

Cited by 352

Dynabench: Rethinking Benchmarking in NLP

Kiela, D., Bartolo, M., Nie, Y., Kaushik, D., Geiger, A., Wu, Z., Vidgen, B., Prasad, G., Singh, A., Ringshia, P., et al. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Topic ModelingNatural Language Processing Techniques

Cited by 254

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

See, A., Roller, S., Kiela, D., & Weston, J. (2019) · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)

Speech and dialogue systemsLanguage, Discourse, Communication Strategies

Cited by 247

True Few-Shot Learning with Language Models

Perez, E., Kiela, D., & Cho, K. (2021) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 226

Learning Continuous Hierarchies in the Lorentz Model of Hyperbolic Geometry

Nickel, M., & Kiela, D. (2018) · arXiv

Advanced Graph Neural NetworksTopic Modeling

Cited by 186

Efficient Large-Scale Multi-Modal Classification

Kiela, D., Grave, E., Joulin, A., & Mikolov, T. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 177

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

Vidgen, B., Thrush, T., Waseem, Z., & Kiela, D. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining

Cited by 174

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

Zhang, S., Dinan, E., Urbanek, J., Szlam, A., Kiela, D., & Weston, J. (2018) · arXiv

Speech and dialogue systemsAI in Service Interactions

Cited by 165

Unsupervised Question Decomposition for Question Answering

Perez, E., Lewis, P., Yih, W.-T., Cho, K., & Kiela, D. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Topic ModelingNatural Language Processing Techniques

Cited by 123

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

Xiong, W., Li, X. L., Iyer, S., Du, J., Lewis, P., Wang, W. Y., Mehdad, Y., Yih, W.-T., Riedel, S., Kiela, D., et al. (2020) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 112

Rethink reporting of evaluation results in AI

Burnell, R., Schellaert, W., Burden, J., Ullman, T. D., Martinez-Plumed, F., Tenenbaum, J. B., Rutar, D., Cheke, L. G., Sohl-Dickstein, J., Mitchell, M., et al. (2023) · Science

Ethics and Social Impacts of AIScientific Computing and Data Management

Cited by 104

HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment

Vulić, I., Gerz, D., Kiela, D., Hill, F., & Korhonen, A. (2016) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 90

OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents

Laurençon, H., Saulnier, L., Tronchon, L., Bekman, S., Singh, A., Lozhkov, A., Wang, T., Karamcheti, S., Rush, A. M., Kiela, D., et al. (2023) · arXiv

Multimodal Machine Learning ApplicationsHandwritten Text Recognition Techniques

Cited by 72

Deep Artificial Neural Networks Reveal a Distributed Cortical Network Encoding Propositional Sentence-Level Meaning

Anderson, A. J., Kiela, D., Binder, J. R., Fernandino, L., Humphries, C. J., Conant, L. L., Raizada, R. D. S., Grimm, S., & Lalor, E. C. (2021) · The Journal of Neuroscience

Neurobiology of Language and BilingualismReading and Literacy Development

Cited by 70

Perturbation augmentation for fairer NLP

Qian, R., Ross, C., Fernandes, J., Smith, E. M., Kiela, D., & Williams, A. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Ethics and Social Impacts of AITopic Modeling

Cited by 69

DynaSent: A Dynamic Benchmark for Sentiment Analysis

Potts, C., Wu, Z., Geiger, A., & Kiela, D. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Sentiment Analysis and Opinion MiningTopic Modeling

Cited by 56