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Zhizhen Zhu

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Conference Open access Jul 2026

Structure-Grounded Document Agents for Faithful Long-Context Reasoning

This work proposes StructAgent, a document-oriented LLM agent that integrates structure-aware navigation, sequential reading, and evidence-constrained generation into a unified agentic loop, and generates answers whose reasoning chains are explicitly grounded in cited evidence.

Jingfeng Zhou, Zhizhen Zhu, A. Zhu et al. · 1 citation
Conference Open access Jun 2026

Experience Retrieval Compression for Continual Adaptation of LLM Agents

Structured Experience Compression (SEC), a lightweight method that distills each trajectory into a four-field unit encoding the task type, key decisions, failure reason, and repair action, is proposed, suggesting potential suitability for long-lived deployment settings.

Zhizhen Zhu, Ruochen Fang, Rong Hu · 2 citations