Eric Michael Smith
Eric Michael Smith
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Cited by
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
Towards Empathetic Open-domain Conversation Models: A New Benchmark and Dataset
H Rashkin, EM Smith, M Li, YL Boureau
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
Multiple-attribute text rewriting
G Lample, S Subramanian, E Smith, L Denoyer, MA Ranzato, YL Boureau
International Conference on Learning Representations, 2019
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
Multiple-attribute text style transfer
S Subramanian, G Lample, EM Smith, L Denoyer, MA Ranzato, ...
arXiv preprint arXiv:1811.00552, 2018
I Know the Feeling: Learning to Converse with Empathy
H Rashkin, EM Smith, M Li, YL Boureau
arXiv preprint arXiv:1811.00207, 2018
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
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
Controlling style in generated dialogue
EM Smith, D Gonzalez-Rico, E Dinan, YL Boureau
arXiv preprint arXiv:2009.10855, 2020
Mapping local optical densities of states in silicon photonic structures with nanoscale electron spectroscopy
JJ Cha, Z Yu, E Smith, M Couillard, S Fan, DA Muller
Physical Review B 81 (11), 113102, 2010
Multi-modal open-domain dialogue
K Shuster, EM Smith, D Ju, J Weston
arXiv preprint arXiv:2010.01082, 2020
Human evaluation of conversations is an open problem: comparing the sensitivity of various methods for evaluating dialogue agents
EM Smith, O Hsu, R Qian, S Roller, YL Boureau, J Weston
arXiv preprint arXiv:2201.04723, 2022
Zero-shot fine-grained style transfer: Leveraging distributed continuous style representations to transfer to unseen styles
EM Smith, D Gonzalez-Rico, E Dinan, YL Boureau
arXiv preprint arXiv:1911.03914, 2019
Perturbation augmentation for fairer nlp
R Qian, C Ross, J Fernandes, E Smith, D Kiela, A Williams
arXiv preprint arXiv:2205.12586, 2022
" I'm sorry to hear that": finding bias in language models with a holistic descriptor dataset
EM Smith, MHM Kambadur, E Presani, A Williams
arXiv preprint arXiv:2205.09209, 2022
Hi, my name is Martha: Using names to measure and mitigate bias in generative dialogue models
EM Smith, A Williams
arXiv preprint arXiv:2109.03300, 2021
“I’m sorry to hear that”: Finding New Biases in Language Models with a Holistic Descriptor Dataset
EM Smith, M Hall, M Kambadur, E Presani, A Williams
Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022
Forecasting customer behaviour in constrained E-commerce platforms
EM Smith, A Nantes, A Hogue, I Papas
8th International Conference of Pattern Recognition Systems (ICPRS 2017), 2017
Scaling and regulation of gene expression in the developing fly embryo
EM Smith
Princeton University, 2015
Toxicity in Multilingual Machine Translation at Scale
MR Costa-jussà, E Smith, C Ropers, D Licht, J Ferrando, C Escolano
arXiv preprint arXiv:2210.03070, 2022
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