Liu, Bang

AFlow: Automating Agentic Workflow Generation

Zhang, J., Xiang, J., Yu, Z., Teng, F., Chen, X., Chen, J., Zhuge, M., Cheng, X., Hong, S., Wang, J., et al. (2024) · arXiv

AI-based Problem Solving and PlanningArtificial Intelligence Applications

Cited by 359

Data Interpreter: An LLM Agent For Data Science

Hong, S., Lin, Y., Liu, B., Liu, B., Wu, B., Zhang, C., Wei, C., Li, D., Chen, J., Zhang, J., et al. (2024) · arXiv

Software Engineering ResearchArtificial Intelligence Applications

Cited by 60

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems

Liu, B., Li, X., Zhang, J., Wang, J., He, T., Hong, S., Liu, H., Zhang, S., Song, K., Zhu, K., et al. (2025) · arXiv

Psychiatry, Mental Health, NeuroscienceArtificial Intelligence Applications

Cited by 16

AOrchestra: Automating Sub-Agent Creation for Agentic Orchestration

Ruan, J., Xu, Z., Peng, Y., Ren, F., Yu, Z., Liang, X., Xiang, J., Chen, Y., Liu, B., Wu, C., et al. (2026) · arXiv

AI-based Problem Solving and PlanningNatural Language Processing Techniques

Cited by 5

Resonance RoPE: Improving Context Length Generalization of Large Language Models

Wang, S., Kobyzev, I., Lu, P., Rezagholizadeh, M., & Liu, B. (2024) · Findings of the Association for Computational Linguistics ACL 2024

Topic ModelingNatural Language Processing Techniques

Cited by 4

QRelScore: Better Evaluating Generated Questions with Deeper Understanding of Context-aware Relevance

Wang, X., Liu, B., Tang, S., & Wu, L. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

Enhancing Agent Learning through World Dynamics Modeling

Sun, Z., Shi, H., Côté, M.-A., Berseth, G., Yuan, X., & Liu, B. (2024) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 0