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 | 216 | 2022 |
Informing the design of a personalized privacy assistant for the internet of things J Colnago, Y Feng, T Palanivel, S Pearman, M Ung, A Acquisti, LF Cranor, ... Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems …, 2020 | 110 | 2020 |
Learning new skills after deployment: Improving open-domain internet-driven dialogue with human feedback J Xu, M Ung, M Komeili, K Arora, YL Boureau, J Weston arXiv preprint arXiv:2208.03270, 2022 | 31 | 2022 |
Saferdialogues: Taking feedback gracefully after conversational safety failures M Ung, J Xu, YL Boureau arXiv preprint arXiv:2110.07518, 2021 | 28 | 2021 |
Blenderbot 3: a deployed conversational agent that continually learns to responsibly engage, 2022 K Shuster, J Xu, M Komeili, D Ju, EM Smith, S Roller, M Ung, M Chen, ... URL https://arxiv. org/abs/2208.03188, 0 | 13 | |
ROBBIE: Robust bias evaluation of large generative language models D Esiobu, X Tan, S Hosseini, M Ung, Y Zhang, J Fernandes, J Dwivedi-Yu, ... Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 6 | 2023 |
Training models to generate, recognize, and reframe unhelpful thoughts M Maddela, M Ung, J Xu, A Madotto, H Foran, YL Boureau arXiv preprint arXiv:2307.02768, 2023 | 5 | 2023 |
Improving open language models by learning from organic interactions J Xu, D Ju, J Lane, M Komeili, EM Smith, M Ung, M Behrooz, W Ngan, ... arXiv preprint arXiv:2306.04707, 2023 | 5 | 2023 |
BlenderBot 3: A deployed conversational agent that continually learns to responsibly engage. arXiv 2022 K Shuster, J Xu, M Komeili, D Ju, EM Smith, S Roller, M Ung, M Chen, ... arXiv preprint arXiv:2208.03188, 0 | 5 | |
A randomized controlled trial of a bot-based self-help program H Foran, YL Boureau, C Kubb, J Müller, M Ung, S Poff, M Kambadur, ... OSF, 2022 | | 2022 |