He, Zexue

Cognitive bias in decision-making with LLMs

Echterhoff, J. M., Liu, Y., Alessa, A., McAuley, J., & He, Z. (2024) · Findings of the Association for Computational Linguistics: EMNLP 2024

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 62

M+: Extending MemoryLLM with Scalable Long-Term Memory

Wang, Y., Krotov, D., Hu, Y., Gao, Y., Zhou, W., McAuley, J., Gutfreund, D., Feris, R., & He, Z. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

MemoryArena: Benchmarking Agent Memory in Interdependent Multi-Session Agentic Tasks

He, Z., Wang, Y., Zhi, C., Hu, Y., Chen, T.-P., Yin, L., Chen, Z., Wu, T. A., Ouyang, S., Wang, Z., et al. (2026) · arXiv

AI-based Problem Solving and PlanningInformation Retrieval and Search Behavior

Cited by 0

Decocted Experience Improves Test-Time Inference in LLM Agents

Shen, M., Zha, K., He, Z., Hong, Z.-W., Ouyang, S., Ryu, J. J., Sattigeri, P., Diggavi, S., & Wornell, G. (2026) · arXiv

Topic ModelingAI-based Problem Solving and Planning

Cited by 0

CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory

He, Z., Karlinsky, L., Kim, D., McAuley, J., Krotov, D., & Feris, R. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Towards LifeSpan Cognitive Systems

Wang, Y., Han, C., Wu, T., He, X., Zhou, W., Sadeq, N., Chen, X., He, Z., Wang, W., Haffari, G., et al. (2024) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 0

The Last Human-Written Paper: Agent-Native Research Artifacts

Liu, J., Pei, J., Huang, J., Si, C., Qu, A., Tang, X., Lu, R., Chen, L., Bai, X., Zheng, H., et al. (2026) · arXiv

Scientific Computing and Data ManagementAcademic Writing and Publishing

Cited by 0