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cs.CL2026

HiMPO: Hindsight-Informed Memory Policy Optimization for Less-Entangled Credit in Long-Horizon Agents

Jiangze Yan, Yi Shen, Wenjing Zhang +5

Long-horizon agents rely on memory mechanisms to compress interaction history, but optimizing memory writing faces a distinct credit assignment challenge: a memory update may be re…

cs.CL2026

Mixture of Heterogeneous Grouped Experts for Language Modeling

Zhicheng Ma, Xiang Liu, Zhaoxiang Liu +5

Large Language Models (LLMs) based on Mixture-of-Experts (MoE) are pivotal in industrial applications for their ability to scale performance efficiently. However, standard MoEs enf…

cs.CL2025

Safety Evaluation and Enhancement of DeepSeek Models in Chinese Contexts

Wenjing Zhang, Xuejiao Lei, Zhaoxiang Liu +11

DeepSeek-R1, renowned for its exceptional reasoning capabilities and open-source strategy, is significantly influencing the global artificial intelligence landscape. However, it ex…

cs.CL2025

Safety Evaluation of DeepSeek Models in Chinese Contexts

Wenjing Zhang, Xuejiao Lei, Zhaoxiang Liu +8

Recently, the DeepSeek series of models, leveraging their exceptional reasoning capabilities and open-source strategy, is reshaping the global AI landscape. Despite these advantage…

cs.CL2024

Methodology of Adapting Large English Language Models for Specific Cultural Contexts

Wenjing Zhang, Siqi Xiao, Xuejiao Lei +7

The rapid growth of large language models(LLMs) has emerged as a prominent trend in the field of artificial intelligence. However, current state-of-the-art LLMs are predominantly b…