Wu, Chen Henry

Selective annotation makes language models better few-shot learners

Su, H., Kasai, J., Wu, C. H., Shi, W., Wang, T., Xin, J., Zhang, R., Ostendorf, M., Zettlemoyer, L., Smith, N. A., et al. (2022) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 70

SummN: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents

Zhang, Y., Ni, A., Mao, Z., Wu, C. H., Zhu, C., Deb, B., Awadallah, A., Radev, D., & Zhang, R. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Advanced Text Analysis TechniquesTopic Modeling

Cited by 44

DeepDev-PERF: a deep learning-based approach for improving software performance

Garg, S., Moghaddam, R. Z., Clement, C. B., Sundaresan, N., & Wu, C. (2022) · Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Software Engineering ResearchSoftware System Performance and Reliability

Cited by 24

Dissecting Adversarial Robustness of Multimodal LM Agents

Wu, C. H., Shah, R., Koh, J. Y., Salakhutdinov, R., Fried, D., & Raghunathan, A. (2024) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 1