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Peng-Yang Zhou

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#natural language process... Preprint Oct 2026

Programmatic Search Agents: Extending Agentic Search Beyond Query Reformulation

The introduced Programmatic Search Agent (PSA), which makes a local executable computation over candidates the unit of a search action, unifies a persistent candidate workspace, flexible primitive composition, and selective evidence presentation.

Jia-Ming Qian, Hui-Yan Yang, Man-Di Liu et al. · 0 citations
#natural language process... Preprint Oct 2026

Reward Stealing Attack on Large Language Models

Adversarial attacks on Large Language Models (LLMs) aim to induce harmful content. However, existing methods suffer from high computational costs or strict model-pairing dependencies, limiting their scalability and transferability. We propose Reward Stealing Attack (ReSA), an adversarial attack framework that targets t...

Jia-Ming Qian, Peng-Yang Zhou, Jia-He Xu et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Behavior Quotient Learning for Low-Rank Adaptation of LLM Agents

BQ-LoRA is proposed, a low-rank adaptation framework that organizes trajectory updates through a local behavior quotient manifold and contains two modules, i.e., behavior quotient balancing (BQB) and decision preserving compression (DPC).

Peng-Yang Zhou, Xiao-Bing Tu, Zheng-Xi Liu et al. · 0 citations
Preprint Aug 2026

Wuying-Browser-Agent: Real-World Centric Fundamental Long-Horizon Browser Agents

This work argues that closing this gap requires alignment at every level of the pipeline, including execution, supervision, optimization, and evaluation, rather than scale alone, and presents Wuying-Browser-Agent, a unified framework that addresses each of these levels.

A. Chen, Yan Cheng, Zhangye Han et al. · 1 citation

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