Wang, Jun

User Behavior Simulation with Large Language Model based Agents

Wang, L., Zhang, J., Yang, H., Chen, Z., Tang, J., Zhang, Z., Chen, X., Lin, Y., Song, R., Zhao, W. X., et al. (2023) · arXiv

Recommender Systems and TechniquesMulti-Agent Systems and Negotiation

Cited by 6

Human-inspired Episodic Memory for Infinite Context LLMs

Fountas, Z., Benfeghoul, M. A., Oomerjee, A., Christopoulou, F., Lampouras, G., Bou-Ammar, H., & Wang, J. (2024) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 3

Deep Research Agents: A Systematic Examination And Roadmap

Huang, Y., Chen, Y., Zhang, H., Li, K., Zhou, H., Fang, M., Yang, L., Li, X., Shang, L., Xu, S., et al. (2025) · arXiv

AI-based Problem Solving and PlanningInformation Retrieval and Search Behavior

Cited by 3

Self-Verifying Reflection Helps Transformers with CoT Reasoning

Yu, Z., Xia, W., Yan, X., Xu, B., Zhang, H., Du, Y., & Wang, J. (2025) · arXiv

Topic ModelingAI-based Problem Solving and Planning

Cited by 2

Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning

Christianos, F., Papoudakis, G., Zimmer, M., Coste, T., Wu, Z., Chen, J., Khandelwal, K., Doran, J., Feng, X., Liu, J., et al. (2023) · arXiv

AI-based Problem Solving and PlanningReinforcement Learning in Robotics

Cited by 2

Memento: Fine-tuning LLM Agents without Fine-tuning LLMs

Zhou, H., Chen, Y., Guo, S., Yan, X., Lee, K. H., Wang, Z., Lee, K. Y., Zhang, G., Shao, K., Yang, L., et al. (2025) · arXiv

Domain Adaptation and Few-Shot LearningReinforcement Learning in Robotics

Cited by 2

Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering

Zhou, C., Chai, H., Chen, W., Guo, Z., Shan, R., Song, Y., Xu, T., Yang, Y., Yu, A., Zhang, W., et al. (2026) · arXiv

Artificial Intelligence ApplicationsAI-based Problem Solving and Planning

Cited by 1

Agent-Dice: Disentangling Knowledge Updates via Geometric Consensus for Agent Continual Learning

Wu, Z., Lou, X., Ma, X., Li, Y., Liu, W., Zhang, W., Wang, J., & Zhang, Z. (2026) · arXiv

Domain Adaptation and Few-Shot LearningReinforcement Learning in Robotics

Cited by 0

Memento 3: Model-Based Recursive Self-Improvement through Reflective Rulebooks

Zhao, H., Yu, Z., He, Z., Fang, M., Tutunov, R., Bou-Ammar, H., Luo, W., & Wang, J. (2026) · arXiv

AI-based Problem Solving and PlanningPsychiatry, Mental Health, Neuroscience

Cited by 0

Safety in Self-Evolving Agents: A Survey

Chen, J., Feng, Z., Ma, O., Yan, Y., Lin, R., Zhang, H., Du, L., An, H., Yang, Y., Liu, J., et al. (2026) · arXiv

Evolutionary Algorithms and ApplicationsSafety Systems Engineering in Autonomy

Cited by 0

MARFT: Multi-Agent Reinforcement Fine-Tuning

Liao, J., Wen, M., Wang, J., & Zhang, W. (2025) · arXiv

Reinforcement Learning in RoboticsMulti-Agent Systems and Negotiation

Cited by 0

TaskCraft: Automated Generation of Agentic Tasks

Shi, D., Cao, J., Chen, Q., Sun, W., Li, W., Lu, H., Dong, F., Qin, T., Zhu, K., Liu, M., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems

Tang, H., Liu, F., Chen, X., Chen, J., Wang, B., Zhang, C., Wang, J., Sun, Y., Hu, B., & Wang, C. (2025) · arXiv

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 0

From Experience to Strategy: Empowering LLM Agents with Trainable Graph Memory

Xia, S., Xu, Z., Chai, J., Fan, W., Song, Y., Wang, X., Yin, G., Lin, W., Zhang, H., & Wang, J. (2025) · arXiv

AI-based Problem Solving and PlanningReinforcement Learning in Robotics

Cited by 0