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cs.AI2026

Deep Interaction: An Efficient Human-AI Interaction Method for Large Reasoning Models

Hefeng Zhou, Jinxuan Zhang, Jiong Lou +4

The emergence of Chain-of-Thought (CoT) reasoning has significantly enhanced the ability of large language models (LLMs) to tackle complex, multi-step tasks. However, when errors o…

cs.CL2026

Privacy-Preserving Text Sanitization for Distributed Agents Collaboration via Disentangled Representations

Xuan Liu, Hefeng Zhou, Sicheng Chen +6

When distributed agents exchange text across organizational boundaries, privacy leakage arises not only from explicit identifiers but also from distributional signatures such as fo…

cs.CV2026

Federated Cross-Modal Retrieval with Missing Modalities via Semantic Routing and Adapter Personalization

Hefeng Zhou, Xuan Liu, Sicheng Chen +7

Federated cross-modal retrieval faces severe challenges from heterogeneous client data, particularly non-IID semantic distributions and missing modalities. Under such heterogeneity…

cs.NI2026

IEMAS: An Incentive-Efficiency Routing Framework for Open Agentic Web Ecosystems

Hongze Liu, Chang Guo, Yingzeng Li +6

The transition to open, distributed Multi-Agent Systems (MAS) promises scalable intelligence but introduces a non-trivial tension: maximizing global efficiency requires cooperative…

cs.CR2026

TrinityGuard: A Unified Framework for Safeguarding Multi-Agent Systems

Kai Wang, Biaojie Zeng, Zeming Wei +7

With the rapid development of LLM-based multi-agent systems (MAS), their significant safety and security concerns have emerged, which introduce novel risks going beyond single agen…