Roller, Stephen

Recipes for building an open-domain chatbot

Roller, S., Dinan, E., Goyal, N., Ju, D., Williamson, M., Liu, Y., Xu, J., Ott, M., Shuster, K., Smith, E. M., et al. (2020) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 784

Recipes for Building an Open-Domain Chatbot

Roller, S., Dinan, E., Goyal, N., Ju, D., Williamson, M., Liu, Y., Xu, J., Ott, M., Smith, E. M., Boureau, Y.-L., et al. (2021) · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume

Speech and dialogue systemsTopic Modeling

Cited by 784

Neural Text Generation with Unlikelihood Training

Welleck, S., Kulikov, I., Roller, S., Dinan, E., Cho, K., & Weston, J. (2019) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 254

What makes a good conversation? How controllable attributes affect human judgments

See, A., Roller, S., Kiela, D., & Weston, J. (2019) · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)

Speech and dialogue systemsLanguage, Discourse, Communication Strategies

Cited by 247

Human-level play in the game of Diplomacy by combining language models with strategic reasoning

Meta Fundamental AI Research Diplomacy Team (FAIR)†, Bakhtin, A., Brown, N., Dinan, E., Farina, G., Flaherty, C., Fried, D., Goff, A., Gray, J., Hu, H., et al. (2022) · Science

Artificial Intelligence in GamesSpeech and dialogue systems

Cited by 241

BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage

Shuster, K., Xu, J., Komeili, M., Ju, D., Smith, E. M., Roller, S., Ung, M., Chen, M., Arora, K., Lane, J., et al. (2022) · arXiv

Speech and dialogue systemsAI in Service Interactions

Cited by 95

Hash Layers For Large Sparse Models

Roller, S., Sukhbaatar, S., Szlam, A., & Weston, J. (2021) · arXiv

Topic ModelingAdvanced Neural Network Applications

Cited by 66

Human Evaluation of Conversations is an Open Problem: comparing the sensitivity of various methods for evaluating dialogue agents

Smith, E., Hsu, O., Qian, R., Roller, S., Boureau, Y.-L., & Weston, J. (2022) · Proceedings of the 4th Workshop on NLP for Conversational AI

Speech and dialogue systemsEmotion and Mood Recognition

Cited by 40

Open-Domain Conversational Agents: Current Progress, Open Problems, and Future Directions

Roller, S., Boureau, Y.-L., Weston, J., Bordes, A., Dinan, E., Fan, A., Gunning, D., Ju, D., Li, M., Poff, S., et al. (2020) · arXiv

Speech and dialogue systemsAI in Service Interactions

Cited by 38

Scaling Laws for Generative Mixed-Modal Language Models

Aghajanyan, A., Yu, L., Conneau, A., Hsu, W.-N., Hambardzumyan, K., Zhang, S., Roller, S., Goyal, N., Levy, O., & Zettlemoyer, L. (2023) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 10

Leveraging Implicit Feedback from Deployment Data in Dialogue

Pang, R. Y., Roller, S., Cho, K., He, H., & Weston, J. (2023) · arXiv

Speech and dialogue systemsAI in Service Interactions

Cited by 1