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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

De-Chuan Zhan

h-index 13 View on Semantic Scholar

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Jul 2026

Bi-Compatible Task-Agnostic Feature Augmentation for Expansion-Based Class-Incremental Learning

This paper systematically identifies one of the fundamental challenges behind CIL, named feature collision, where the features learned by the current task-specific model may collide with those of the previous models, leading to forgetting of previously learned tasks and hindering the learning of new tasks.

Bowen Zheng, Zijun Shen, Da-Wei Zhou et al. · 0 citations
Preprint Aug 2026

PeakBench: Benchmarking Resource-Aware Tool Invocation in LLM Agents

PeakBench is a benchmark of executable multi-tool workflows with execution-grounded dependency annotations and measured resource profiles that shows that strong logical planning does not reliably translate into safe or efficient execution under resource constraints, and exposes resource information to reduce avoidable overflows and improve resource utilization.

Zhi-Kai Chen, Xu-Xiang Zhong, Song-Yan Li et al. · 0 citations
Preprint Aug 2026

ResiSpec: Enhancing Multi-Candidate Speculative Sampling via Residual Distribution Shaping

ResiSpec, a framework that strategically reforms the proposal distribution during verification to anchor the residual target mass within the draft model's high-confidence regions, prevents candidate obsolescence and achieves up to 1.92$\times$ speedup over state-of-the-art multi-candidate methods.

Zhi-Kai Chen, Jun Tao, Weihao Mao et al. · 0 citations

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