Weston, Jason

Self-Taught Evaluators

Wang, T., Kulikov, I., Golovneva, O., Yu, P., Yuan, W., Dwivedi-Yu, J., Pang, R. Y., Fazel-Zarandi, M., Weston, J., & Li, X. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 166

Retrieve and Refine: Improved Sequence Generation Models For Dialogue

Weston, J., Dinan, E., & Miller, A. (2018) · Proceedings of the 2018 EMNLP Workshop SCAI: The 2nd International Workshop on Search-Oriented Conversational AI

Speech and dialogue systemsTopic Modeling

Cited by 165

Personalizing Dialogue Agents: I have a dog, do you have pets too?

Zhang, S., Dinan, E., Urbanek, J., Szlam, A., Kiela, D., & Weston, J. (2018) · arXiv

Speech and dialogue systemsAI in Service Interactions

Cited by 165

Learning from Dialogue after Deployment: Feed Yourself, Chatbot!

Hancock, B., Bordes, A., Mazare, P.-E., & Weston, J. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Speech and dialogue systemsIntelligent Tutoring Systems and Adaptive Learning

Cited by 161

Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack

Dinan, E., Humeau, S., Chintagunta, B., & Weston, J. (2019) · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

Adversarial Robustness in Machine LearningSpeech and dialogue systems

Cited by 161

Beyond Goldfish Memory: Long-Term Open-Domain Conversation

Xu, J., Szlam, A., & Weston, J. (2021) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 148

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

Dialogue Learning With Human-In-The-Loop

Li, J., Miller, A. H., Chopra, S., Ranzato, M., & Weston, J. (2016) · arXiv

Speech and dialogue systemsReinforcement Learning in Robotics

Cited by 90

Importance of Search and Evaluation Strategies in Neural Dialogue Modeling

Kulikov, I., Miller, A., Cho, K., & Weston, J. (2019) · Proceedings of the 12th International Conference on Natural Language Generation

Speech and dialogue systemsSpeech Recognition and Synthesis

Cited by 83

Hash Layers For Large Sparse Models

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

Topic ModelingAdvanced Neural Network Applications

Cited by 66

Bot-Adversarial Dialogue for Safe Conversational Agents

Xu, J., Ju, D., Li, M., Boureau, Y.-L., Weston, J., & Dinan, E. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Speech and dialogue systemsAdversarial Robustness in Machine Learning

Cited by 64

Chain-of-Verification Reduces Hallucination in Large Language Models

Dhuliawala, S., Komeili, M., Xu, J., Raileanu, R., Li, X., Celikyilmaz, A., & Weston, J. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 42

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

Finding Generalizable Evidence by Learning to Convince Q&A Models

Perez, E., Karamcheti, S., Fergus, R., Weston, J., Kiela, D., & Cho, K. (2019) · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

Topic ModelingNatural Language Processing Techniques

Cited by 27

Reason first, then respond: Modular Generation for Knowledge-infused Dialogue

Adolphs, L., Shuster, K., Urbanek, J., Szlam, A., & Weston, J. (2022) · Findings of the Association for Computational Linguistics: EMNLP 2022

Speech and dialogue systemsTopic Modeling

Cited by 25

NormFormer: Improved Transformer Pretraining with Extra Normalization

Shleifer, S., Weston, J., & Ott, M. (2021) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 24

Irreflexive and Hierarchical Relations as Translations

Bordes, A., Usunier, N., Garcia-Duran, A., Weston, J., & Yakhnenko, O. (2013) · arXiv

Topic ModelingAdvanced Graph Neural Networks

Cited by 23

Am I Me or You? State-of-the-Art Dialogue Models Cannot Maintain an Identity

Shuster, K., Urbanek, J., Szlam, A., & Weston, J. (2022) · Findings of the Association for Computational Linguistics: NAACL 2022

Speech and dialogue systemsIntelligent Tutoring Systems and Adaptive Learning

Cited by 20

Training Large Language Models to Reason in a Continuous Latent Space

Hao, S., Sukhbaatar, S., Su, D., Li, X., Hu, Z., Weston, J., & Tian, Y. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 18

Self-Rewarding Language Models

Yuan, W., Pang, R. Y., Cho, K., Li, X., Sukhbaatar, S., Xu, J., & Weston, J. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 18

Iterative Reasoning Preference Optimization

Pang, R. Y., Yuan, W., Cho, K., He, H., Sukhbaatar, S., & Weston, J. (2024) · arXiv

Constraint Satisfaction and OptimizationLogic, Reasoning, and Knowledge

Cited by 15

Learning to Reason and Memorize with Self-Notes

Lanchantin, J., Toshniwal, S., Weston, J., Szlam, A., & Sukhbaatar, S. (2023) · Advances in Neural Information Processing Systems 36

Innovative Teaching and Learning MethodsMemory Processes and Influences

Cited by 9

Walking Down the Memory Maze: Beyond Context Limit through Interactive Reading

Chen, H., Pasunuru, R., Weston, J., & Celikyilmaz, A. (2023) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 9