Galley, Michel

DIALOGPT : Large-Scale Generative Pre-training for Conversational Response Generation

Zhang, Y., Sun, S., Galley, M., Chen, Y.-C., Brockett, C., Gao, X., Gao, J., Liu, J., & Dolan, B. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations

Speech and dialogue systemsTopic Modeling

Cited by 1,076

A Persona-Based Neural Conversation Model

Li, J., Galley, M., Brockett, C., Spithourakis, G., Gao, J., & Dolan, B. (2016) · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Speech and dialogue systemsAI in Service Interactions

Cited by 898

Discourse Segmentation of Multi-Party Conversation

Galley, M., McKeown, K., Fosler-Lussier, E., & Jing, H. (2003) · Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - ACL '03

Speech Recognition and SynthesisSpeech and dialogue systems

Cited by 351

Instruction Tuning with GPT-4

Peng, B., Li, C., He, P., Galley, M., & Gao, J. (2023) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 183

Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback

Peng, B., Galley, M., He, P., Cheng, H., Xie, Y., Hu, Y., Huang, Q., Liden, L., Yu, Z., Chen, W., et al. (2023) · arXiv

Topic ModelingSpeech and dialogue systems

Cited by 156

Neural Approaches to Conversational AI

Gao, J., Galley, M., & Li, L. (2018) · Proceedings of ACL 2018, Tutorial Abstracts

Speech and dialogue systemsAI in Service Interactions

Cited by 73

A Survey of Current Datasets for Vision and Language Research

Ferraro, F., Mostafazadeh, N., Huang, T.-H., Vanderwende, L., Devlin, J., Galley, M., & Mitchell, M. (2015) · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing

Multimodal Machine Learning ApplicationsNatural Language Processing Techniques

Cited by 68

Rethinking Interpretability in the Era of Large Language Models

Singh, C., Inala, J. P., Galley, M., Caruana, R., & Gao, J. (2024) · arXiv

Explainable Artificial Intelligence (XAI)Adversarial Robustness in Machine Learning

Cited by 50

Measuring machine translation quality as semantic equivalence: A metric based on entailment features

Padó, S., Cer, D., Galley, M., Jurafsky, D., & Manning, C. D. (2009) · Machine Translation

Natural Language Processing TechniquesTopic Modeling

Cited by 47

RetGen: A Joint Framework for Retrieval and Grounded Text Generation Modeling

Zhang, Y., Sun, S., Gao, X., Fang, Y., Brockett, C., Galley, M., Gao, J., & Dolan, B. (2022) · Proceedings of the AAAI Conference on Artificial Intelligence

Topic ModelingInformation Retrieval and Search Behavior

Cited by 27

Self-Verification Improves Few-Shot Clinical Information Extraction

Gero, Z., Singh, C., Cheng, H., Naumann, T., Galley, M., Gao, J., & Poon, H. (2023) · arXiv

Machine Learning in HealthcareTopic Modeling

Cited by 21

MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts

Lu, P., Bansal, H., Xia, T., Liu, J., Li, C., Hajishirzi, H., Cheng, H., Chang, K.-W., Galley, M., & Gao, J. (2023) · arXiv

Multimodal Machine Learning ApplicationsMathematics, Computing, and Information Processing

Cited by 12