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Ruqing Zhang

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Preprint Aug 2026

DeepRepro: State-Aware Subplanning for Paper-to-Code Reproduction in Evolving Repositories

DeepRepro dynamically transforms evolving repository states and runtime feedback into fine-grained implementation subplans, keeping planning aligned with execution throughout repository construction, and consistently outperforms strong scientific and commercial code-agent baselines.

Hongru Song, Ruqing Zhang, Jiafeng Guo et al. · 0 citations
Preprint Jul 2026

Token-Flow Firewall: Semantic Runtime Auditing for Persistent AI Agents

TokenWall is proposed, a runtime defense framework that acts as a semantic firewall over agent token flows, demonstrating that semantic runtime containment can achieve a practical security-utility trade-off for persistent AI agents.

Puji Wang, Yingchen Zhang, Ruqing Zhang et al. · 1 citation
Book Open access Jul 2026

Is a Busy Search Agent a Good One? Overthinking and Overretrieval at Scale

This work conducts a systematic study of overthinking and overretrieval in search agents from a scaling perspective and proposes a lightweight post-hoc reflection framework that converts the proposed evaluation signals into explicit feedback rewards to guide agents' reasoning trajectories.

Xin Liu, Ruqing Zhang, Yu-An Liu et al. · 0 citations
Conference Open access 2026

Stop Hardening Everything: A Training-Free Neuron-Level Defense for Neural Ranking Models

This paper introduces Search in the Model, a novel training-free framework that performs fine-grained identification and rectification of vulnerable neurons directly within the model, and develops a maximum marginal vulnerability criterion to precisely locate the top-K neurons most responsible for model vulnerability.

Yuansan Liu, Ruqing Zhang, Hongru Song et al. · 0 citations