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Xiangzheng Zhang

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Preprint Aug 2026

When Do Prompt-Side Agent Playbooks Transfer? Accuracy, Cost, and Runtime Shift in Agent Deployment

Across benchmarks, transferred and target-derived playbooks both require target-side validation of success, termination, protocol compatibility, and cost, and Frozen transfer is therefore a conditional cold-start option, not a reuse-by-default strategy or a universally preferable alternative to target-side redistillati...

Wei-Hong Lin, Lin Sun, Xiangzheng Zhang · 0 citations
#artificial intelligence Preprint Aug 2026

ScienceArena: Benchmarking LLMs on Latest Scientific Olympiad Competitions

Benchmark saturation and data contamination increasingly obscure genuine scientific reasoning in frontier LLMs. We introduce \textsc{ScienceArena}, an olympiad-style benchmark from thirteen public science competitions in physics, chemistry, and biology, including IPhO and IChO 2025--2026, IBO 2023, USAPhO 2026, and USN...

Guangxiang Zhao, Qi-Long Shi, Xusen Xiao et al. · 0 citations

RealClawBench: Live OpenClaw Benchmarks from Real Developer-Agent Sessions

RealClawBench is introduced, a live benchmark framework built from real OpenClaw sessions to capture the distribution, diversity, and real-world difficulty of deployed agent use and provides a practical path toward benchmarks that better measure agent capability in actual use.

Zongwei Lv, Zhewen Tan, Yao-Ming Li et al. · 1 citation · ⚡1
Preprint Aug 2026

ArborMem: Navigating Interaction States with Memory Forests

This work introduces ArborMem, an online memory framework that represents a long-running conversation as a navigable forest of interaction states that outperforms the strongest baselines on three established benchmarks and introduces BranchMemEval, a controlled diagnostic benchmark for interleaved and resumable interac...

Zongwei Lv, Yue-Meng Xu, Yilun Yao et al. · 0 citations

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