Heinecke, Shelby

A Survey of Agent Memory in the Second Half: Towards Self-Evolving and Long-Horizon Agents

Huang, W.-C., Zhang, W., Liang, Y., Bei, Y., Chen, Y., Feng, T., Pan, X., Tan, Z., Wang, Y., Wei, T., et al. (2026) · arXiv

AI-based Problem Solving and PlanningArtificial Intelligence Applications

Cited by 70

Apigen: Automated pipeline for generating verifiable and diverse function-calling datasets

Liu, Z., Hoang, T., Zhang, J., Zhu, M., Lan, T., Kokane, S., Tan, J., Yao, W., Liu, Z., Feng, Y., et al. (2024) · Advances in Neural Information Processing Systems 37

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 13

APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets

Liu, Z., Hoang, T., Zhang, J., Zhu, M., Lan, T., Kokane, S., Tan, J., Yao, W., Liu, Z., Feng, Y., et al. (2024) · arXiv

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 13

BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents

Liu, Z., Yao, W., Zhang, J., Xue, L., Heinecke, S., Murthy, R., Feng, Y., Chen, Z., Niebles, J. C., Arpit, D., et al. (2023) · arXiv

AI-based Problem Solving and PlanningReinforcement Learning in Robotics

Cited by 11

Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization

Yao, W., Heinecke, S., Niebles, J. C., Liu, Z., Feng, Y., Xue, L., Murthy, R., Chen, Z., Zhang, J., Arpit, D., et al. (2023) · arXiv

Reinforcement Learning in RoboticsNatural Language Processing Techniques

Cited by 10

AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System

Liu, Z., Yao, W., Zhang, J., Yang, L., Liu, Z., Tan, J., Choubey, P. K., Lan, T., Wu, J., Wang, H., et al. (2024) · arXiv

AI-based Problem Solving and PlanningNatural Language Processing Techniques

Cited by 10

APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay

Prabhakar, A., Liu, Z., Zhu, M., Zhang, J., Awalgaonkar, T., Wang, S., Liu, Z., Chen, H., Hoang, T., Niebles, J. C., et al. (2025) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 2

Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents

Zhang, K., Yao, W., Liu, Z., Feng, Y., Liu, Z., Murthy, R., Lan, T., Li, L., Lou, R., Xu, J., et al. (2024) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 1

Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding

Chen, H., Feng, Y., Liu, Z., Yao, W., Prabhakar, A., Heinecke, S., Ho, R., Mui, P., Savarese, S., Xiong, C., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

ToolLibGen: Scalable Automatic Tool Creation and Aggregation for LLM Reasoning

Yue, M., Liu, Z., Yang, L., Zhang, J., Liu, Z., Chen, H., Yao, Z., Savarese, S., Xiong, C., Heinecke, S., et al. (2025) · arXiv

Topic ModelingAI-based Problem Solving and Planning

Cited by 0

xRouter: Training Cost-Aware LLMs Orchestration System via Reinforcement Learning

Qian, C., Liu, Z., Kokane, S., Prabhakar, A., Qiu, J., Chen, H., Liu, Z., Ji, H., Yao, W., Heinecke, S., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0