Margaret Li
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Towards Empathetic Open-domain Conversation Models: A New Benchmark and Dataset
H Rashkin, EM Smith, M Li, YL Boureau
Proceedings of the 57th Conference of the Association for Computational …, 2019
Recipes for safety in open-domain chatbots
J Xu, D Ju, M Li, YL Boureau, J Weston, E Dinan
arXiv preprint arXiv:2010.07079, 2020
Don't Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood Training
M Li, S Roller, I Kulikov, S Welleck, YL Boureau, K Cho, J Weston
arXiv preprint arXiv:1911.03860, 2019
ACUTE-EVAL: Improved Dialogue Evaluation with Optimized Questions and Multi-turn Comparisons
M Li, J Weston, S Roller
arXiv preprint arXiv:1909.03087, 2019
Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language Models
M Li, S Gururangan, T Dettmers, M Lewis, T Althoff, NA Smith, ...
arXiv preprint arXiv:2208.03306, 2022
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
How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds
P Ammanabrolu, J Urbanek, M Li, A Szlam, T Rocktäschel, J Weston
arXiv preprint arXiv:2010.00685, 2020
Scaling Expert Language Models with Unsupervised Domain Discovery
S Gururangan, M Li, M Lewis, W Shi, T Althoff, NA Smith, L Zettlemoyer
arXiv preprint arXiv:2303.14177, 2023
I love your chain mail! Making knights smile in a fantasy game world: Open-domain goal-oriented dialogue agents
S Prabhumoye, M Li, J Urbanek, E Dinan, D Kiela, J Weston, A Szlam
arXiv preprint arXiv:2002.02878, 2020
Don't Sweep your Learning Rate under the Rug: A Closer Look at Cross-modal Transfer of Pretrained Transformers
D Rothermel, M Li, T Rocktäschel, J Foerster
arXiv preprint arXiv:2107.12460, 2021
In-Context Pretraining: Language Modeling Beyond Document Boundaries
W Shi, S Min, M Lomeli, C Zhou, M Li, V Lin, NA Smith, L Zettlemoyer, ...
arXiv preprint arXiv:2310.10638, 2023
Overconfidence in the Face of Ambiguity with Adversarial Data
M Li, J Michael
Proceedings of the First Workshop on Dynamic Adversarial Data Collection, 30-40, 2022
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
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