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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Jincheng Zhang

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17 papers indexed here

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#large language models Open access Oct 2026

Parallel-World Adaptive Self-Memory and Shared-Memory Switching for Large Language Models

Large language model (LLM) agents increasingly rely on external memory to support long-term interaction, task continuity, experience reuse, and collaborative problem-solving. However, existing memory architectures often emphasize individual memory management, shared memory repositories, or predefined collaboration stra...

Jincheng Zhang · 0 citations
#large language models Open access Oct 2026

Adaptive Switching Between Self-Verification and Mutual Verification in Multiple Large Language Models

Large language models (LLMs) can generate plausible but incorrect responses, and their ability to verify their own outputs is limited by uncertainty, shared reasoning biases, and insufficient access to independent evidence. Self-verification allows a model to inspect its own output, whereas mutual verification enables...

Jincheng Zhang · 0 citations
#large language models Open access Oct 2026

Adaptive Switching Between Self-Search and Collaborative Search for Multiple Large Language Models: An Uncertainty- and Information-Gain-Driven Framework

Large language models (LLMs) increasingly rely on search mechanisms to acquire external information, investigate complex questions, and support evidence-based reasoning. However, search conducted independently by a single model or agent may remain constrained by its initial query formulation, prior assumptions, and lim...

Jincheng Zhang · 0 citations
#large language models Open access Oct 2026

Adaptive Switching Between Parallel-World Self-Correction and Mutual Correction for Multiple Large Language Models

Large language models (LLMs) can generate incorrect, incomplete, or internally inconsistent responses. Self-correction allows a model to inspect and revise its own outputs, whereas mutual correction enables multiple model instances or heterogeneous models to identify and address one another's errors. However, relying e...

Jincheng Zhang · 0 citations
#large language models Open access Oct 2026

Adaptive Switching Between Self-Planning and Collaborative Planning for Multiple Large Language Models

Large language models (LLMs) are increasingly employed as autonomous agents capable of decomposing tasks, generating action sequences, evaluating alternatives, and coordinating with other agents. However, existing planning strategies face a fundamental trade-off. Self-planning allows an individual model to generate and...

Jincheng Zhang · 0 citations

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