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
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
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
TAC-Merge is proposed for tracing and coordinating cross-layer influence in multimodal model merging and demonstrated the effectiveness in consolidating complementary expert capabilities and supporting generalization to unseen tasks.
Peng-Yang Zhou, Xiao-Bing Tu, Zheng-Xi Liu et al.· 0 citations
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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