Weber, Cornelius

Survey on reinforcement learning for language processing

Uc-Cetina, V., Navarro-Guerrero, N., Martin-Gonzalez, A., Weber, C., & Wermter, S. (2023) · Artificial Intelligence Review

Speech and dialogue systemsReinforcement Learning in Robotics

Cited by 177

Multimodal emotional state recognition using sequence-dependent deep hierarchical features

Barros, P., Jirak, D., Weber, C., & Wermter, S. (2015) · Neural Networks

Emotion and Mood RecognitionSocial Robot Interaction and HRI

Cited by 86

The Impact of Personalisation on Human-Robot Interaction in Learning Scenarios

Churamani, N., Anton, P., Brügger, M., Fließwasser, E., Hummel, T., Mayer, J., Mustafa, W., Ng, H. G., Nguyen, T. L. C., Nguyen, Q., et al. (2017) · Proceedings of the 5th International Conference on Human Agent Interaction

Social Robot Interaction and HRISpeech and dialogue systems

Cited by 67

Chat with the Environment: Interactive Multimodal Perception Using Large Language Models

Zhao, X., Li, M., Weber, C., Hafez, M. B., & Wermter, S. (2023) · 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Robot Manipulation and LearningMultimodal Machine Learning Applications

Cited by 62

Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic

Zhao, X., Li, M., Lu, W., Weber, C., Lee, J. H., Chu, K., & Wermter, S. (2024) · Proceedings of the Language Resources and Evaluation Conference

Topic ModelingLogic, Reasoning, and Knowledge

Cited by 26

Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic

Zhao, X., Li, M., Lu, W., Weber, C., Lee, J. H., Chu, K., & Wermter, S. (2023) · arXiv

Topic ModelingLogic, Reasoning, and Knowledge

Cited by 26