Kurt Shuster
Kurt Shuster
Verified email at
Cited by
Cited by
Opt: Open pre-trained transformer language models
S Zhang, S Roller, N Goyal, M Artetxe, M Chen, S Chen, C Dewan, ...
arXiv preprint arXiv:2205.01068, 2022
Recipes for building an open-domain chatbot
S Roller, E Dinan, N Goyal, D Ju, M Williamson, Y Liu, J Xu, M Ott, ...
arXiv preprint arXiv:2004.13637, 2020
Wizard of wikipedia: Knowledge-powered conversational agents
E Dinan, S Roller, K Shuster, A Fan, M Auli, J Weston
arXiv preprint arXiv:1811.01241, 2018
Poly-encoders: Transformer architectures and pre-training strategies for fast and accurate multi-sentence scoring
S Humeau, K Shuster, MA Lachaux, J Weston
arXiv preprint arXiv:1905.01969, 2019
Retrieval augmentation reduces hallucination in conversation
K Shuster, S Poff, M Chen, D Kiela, J Weston
arXiv preprint arXiv:2104.07567, 2021
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
Internet-augmented dialogue generation
M Komeili, K Shuster, J Weston
arXiv preprint arXiv:2107.07566, 2021
Blenderbot 3: a deployed conversational agent that continually learns to responsibly engage
K Shuster, J Xu, M Komeili, D Ju, EM Smith, S Roller, M Ung, M Chen, ...
arXiv preprint arXiv:2208.03188, 2022
Can you put it all together: Evaluating conversational agents' ability to blend skills
EM Smith, M Williamson, K Shuster, J Weston, YL Boureau
arXiv preprint arXiv:2004.08449, 2020
Engaging image captioning via personality
K Shuster, S Humeau, H Hu, A Bordes, J Weston
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Talk The Walk: Navigating Grids in New York City through Grounded Dialogue
H de Vries, K Shuster, D Batra, D Parikh, J Weston, D Kiela
Language models that seek for knowledge: Modular search & generation for dialogue and prompt completion
K Shuster, M Komeili, L Adolphs, S Roller, A Szlam, J Weston
arXiv preprint arXiv:2203.13224, 2022
Image chat: Engaging grounded conversations
K Shuster, S Humeau, A Bordes, J Weston
arXiv preprint arXiv:1811.00945, 2018
Opt: Open pre-trained transformer language models, 2022
S Zhang, S Roller, N Goyal, M Artetxe, M Chen, S Chen, C Dewan, ...
URL https://arxiv. org/abs/2205.01068 3, 19-0, 2023
Opt-iml: Scaling language model instruction meta learning through the lens of generalization
S Iyer, XV Lin, R Pasunuru, T Mihaylov, D Simig, P Yu, K Shuster, T Wang, ...
arXiv preprint arXiv:2212.12017, 2022
The dialogue dodecathlon: Open-domain knowledge and image grounded conversational agents
K Shuster, D Ju, S Roller, E Dinan, YL Boureau, J Weston
arXiv preprint arXiv:1911.03768, 2019
Open-domain conversational agents: Current progress, open problems, and future directions
S Roller, YL Boureau, J Weston, A Bordes, E Dinan, A Fan, D Gunning, ...
arXiv preprint arXiv:2006.12442, 2020
Reason first, then respond: Modular generation for knowledge-infused dialogue
L Adolphs, K Shuster, J Urbanek, A Szlam, J Weston
arXiv preprint arXiv:2111.05204, 2021
Multi-modal open-domain dialogue
K Shuster, EM Smith, D Ju, J Weston
arXiv preprint arXiv:2010.01082, 2020
Real-time inference in multi-sentence tasks with deep pretrained transformers
S Humeau, K Shuster, MA Lachaux, J Weston
arXiv preprint arXiv:1905.01969 10, 25-27, 2019
The system can't perform the operation now. Try again later.
Articles 1–20