Zhang, Yuchen

Llama 2: Open Foundation and Fine-Tuned Chat Models

Touvron, H., Martin, L., Stone, K., Albert, P., Almahairi, A., Babaei, Y., Bashlykov, N., Batra, S., Bhargava, P., Bhosale, S., et al. (2023) · arXiv

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 2,604

Task-Oriented Dialogue as Dataflow Synthesis

Andreas, J., Bufe, J., Burkett, D., Chen, C., Clausman, J., Crawford, J., Crim, K., DeLoach, J., Dorner, L., Eisner, J., et al. (2020) · Transactions of the Association for Computational Linguistics

Speech and dialogue systemsNatural Language Processing Techniques

Cited by 98

Communication-Efficient Distributed Optimization of Self-Concordant Empirical Loss

Zhang, Y., & Xiao, L. (2015) · arXiv

Stochastic Gradient Optimization TechniquesDistributed Control Multi-Agent Systems

Cited by 55

Make Pixels Dance: High-Dynamic Video Generation

Zeng, Y., Wei, G., Zheng, J., Zou, J., Wei, Y., Zhang, Y., & Li, H. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 48

AGILE: A Novel Reinforcement Learning Framework of LLM Agents

Feng, P., He, Y., Huang, G., Lin, Y., Zhang, H., Zhang, Y., & Li, H. (2024) · Advances in Neural Information Processing Systems 37

Reinforcement Learning in RoboticsArtificial Intelligence Applications

Cited by 12

StoryTeller: Improving Long Video Description through Global Audio-Visual Character Identification

He, Y., Lin, Y., Wu, J., Zhang, H., Zhang, Y., & Le, R. (2024) · arXiv

Multimodal Machine Learning ApplicationsVideo Analysis and Summarization

Cited by 2

Tarsier2: Advancing Large Vision-Language Models from Detailed Video Description to Comprehensive Video Understanding

Yuan, L., Wang, J., Sun, H., Zhang, Y., & Lin, Y. (2025) · arXiv

Multimodal Machine Learning ApplicationsGenerative Adversarial Networks and Image Synthesis

Cited by 0