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 | 2528 | 2022 |
Recipes for building an open-domain chatbot S Roller arXiv preprint arXiv:2004.13637, 2020 | 1096 | 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 | 1011 | 2018 |
Retrieval augmentation reduces hallucination in conversation K Shuster, S Poff, M Chen, D Kiela, J Weston arXiv preprint arXiv:2104.07567, 2021 | 605 | 2021 |
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 | 546 | 2019 |
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 | 391 | 2020 |
Internet-augmented dialogue generation M Komeili arXiv preprint arXiv:2107.07566, 2021 | 348 | 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 | 267 | 2022 |
Can you put it all together: Evaluating conversational agents’ ability to blend skills EM Smith arXiv preprint arXiv:2004.08449, 2020 | 235 | 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 | 199 | 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 | 158* | 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 | 130 | 2023 |
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 | 118 | 2022 |
Image chat: Engaging grounded conversations K Shuster, S Humeau, A Bordes, J Weston arXiv preprint arXiv:1811.00945, 2018 | 108 | 2018 |
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 | 93 | 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 | 76 | 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 | 58 | 2020 |
Multi-modal open-domain dialogue K Shuster, EM Smith, D Ju, J Weston arXiv preprint arXiv:2010.01082, 2020 | 43 | 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 | 42 | 2021 |
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 | 37 | 2019 |