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cs.AI2026
CASE: Cost-Aware Stopping for Efficient Long-Video Agents
Yiming Du, Chenghao Liu, Zhiyuan Liu +4
Long-video agents can actively gather question-relevant evidence, but they typically leave a central decision implicit: when has the agent seen enough to answer? We propose CASE, a…
cs.AI2026
MemOPD: On-Policy Distillation through Memory State Alignment for Long-Horizon Agents
Zhiyuan Liu, Tinghong Ye, Chenghao Liu +2
Long-horizon agents accumulate growing contexts during interaction, impairing performance and stability. Compact memory mitigates this problem by compressing and rewriting the hist…
cs.AI2026
VFEAgent: A Multimodal Agent Framework for End-to-End Automated Finite Element Analysis
Jiachen Zhang, Junyi Lao, Chenghao Liu +5
Finite Element Analysis (FEA) serves as the cornerstone of modern engineering design. However, its workflow is inherently complex and relies heavily on domain expertise. Although r…