Sun, Ruoxi

Chain of Agents: Large Language Models Collaborating on Long-Context Tasks

Zhang, Y., Sun, R., Chen, Y., Pfister, T., Zhang, R., & Arik, S. Ö. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 47

Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?

Cao, R., Lei, F., Wu, H., Chen, J., Fu, Y., Gao, H., Xiong, X., Zhang, H., Mao, Y., Hu, W., et al. (2024) · Advances in Neural Information Processing Systems 37

Web Data Mining and AnalysisScientific Computing and Data Management

Cited by 15

Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Lei, F., Chen, J., Ye, Y., Cao, R., Shin, D., Su, H., Suo, Z., Gao, H., Hu, W., Yin, P., et al. (2024) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 7

Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization

Wan, X., Sun, R., Nakhost, H., & Arik, S. (2024) · Advances in Neural Information Processing Systems 37

Natural Language Processing TechniquesTopic Modeling

Cited by 3

Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments

Su, H., Sun, R., Yoon, J., Yin, P., Yu, T., & Arık, S. Ö. (2025) · arXiv

Topic ModelingSoftware Engineering Research

Cited by 2