Följ
Douwe Kiela
Douwe Kiela
Contextual AI, Stanford University
Verifierad e-postadress på stanford.edu
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Supervised learning of universal sentence representations from natural language inference data
A Conneau, D Kiela, H Schwenk, L Barrault, A Bordes
arXiv preprint arXiv:1705.02364, 2017
23302017
Personalizing dialogue agents: I have a dog, do you have pets too?
S Zhang, E Dinan, J Urbanek, A Szlam, D Kiela, J Weston
arXiv preprint arXiv:1801.07243, 2018
12842018
Poincaré embeddings for learning hierarchical representations
M Nickel, D Kiela
Advances in neural information processing systems 30, 2017
12062017
Retrieval-augmented generation for knowledge-intensive nlp tasks
P Lewis, E Perez, A Piktus, F Petroni, V Karpukhin, N Goyal, H Küttler, ...
Advances in Neural Information Processing Systems 33, 9459-9474, 2020
10962020
Bloom: A 176b-parameter open-access multilingual language model
BS Workshop, TL Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, ...
arXiv preprint arXiv:2211.05100, 2022
7132022
Adversarial NLI: A new benchmark for natural language understanding
Y Nie, A Williams, E Dinan, M Bansal, J Weston, D Kiela
arXiv preprint arXiv:1910.14599, 2019
6572019
Senteval: An evaluation toolkit for universal sentence representations
A Conneau, D Kiela
arXiv preprint arXiv:1803.05449, 2018
6022018
Learning continuous hierarchies in the lorentz model of hyperbolic geometry
M Nickel, D Kiela
International conference on machine learning, 3779-3788, 2018
3802018
The hateful memes challenge: Detecting hate speech in multimodal memes
D Kiela, H Firooz, A Mohan, V Goswami, A Singh, P Ringshia, ...
Advances in neural information processing systems 33, 2611-2624, 2020
3642020
The second conversational intelligence challenge (convai2)
E Dinan, V Logacheva, V Malykh, A Miller, K Shuster, J Urbanek, D Kiela, ...
The NeurIPS'18 Competition: From Machine Learning to Intelligent …, 2020
3302020
Hyperbolic graph neural networks
Q Liu, M Nickel, D Kiela
Advances in neural information processing systems 32, 2019
3162019
Flava: A foundational language and vision alignment model
A Singh, R Hu, V Goswami, G Couairon, W Galuba, M Rohrbach, D Kiela
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
3112022
Learning image embeddings using convolutional neural networks for improved multi-modal semantics
D Kiela, L Bottou
Proceedings of the 2014 Conference on empirical methods in natural language …, 2014
2882014
Dynabench: Rethinking benchmarking in NLP
D Kiela, M Bartolo, Y Nie, D Kaushik, A Geiger, Z Wu, B Vidgen, G Prasad, ...
arXiv preprint arXiv:2104.14337, 2021
2432021
Retrieval augmentation reduces hallucination in conversation
K Shuster, S Poff, M Chen, D Kiela, J Weston
arXiv preprint arXiv:2104.07567, 2021
2412021
True few-shot learning with language models
E Perez, D Kiela, K Cho
Advances in neural information processing systems 34, 11054-11070, 2021
2352021
What makes a good conversation? how controllable attributes affect human judgments
A See, S Roller, D Kiela, J Weston
arXiv preprint arXiv:1902.08654, 2019
2322019
Black holes and white rabbits: Metaphor identification with visual features
E Shutova, D Kiela, J Maillard
Proceedings of the 2016 conference of the North American chapter of the …, 2016
2162016
Specializing word embeddings for similarity or relatedness
D Kiela, F Hill, S Clark
Proceedings of the 2015 conference on empirical methods in natural language …, 2015
1882015
Supervised multimodal bitransformers for classifying images and text
D Kiela, S Bhooshan, H Firooz, E Perez, D Testuggine
arXiv preprint arXiv:1909.02950, 2019
1852019
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Artiklar 1–20