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Xiaoqing Zhang

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Preprint Oct 2026

CAMR: Compatibility-Aware Memory Replay for Continual Learning in Large Language Models

Continual learning requires large language models to acquire new knowledge and capabilities while retaining what they have learned. Fine-tuning and replay support acquisition and retention, but deciding whether incoming examples need supervision and which historical examples to revisit remains a challenge. We propose C...

Jing-Pu Yang, Tian-Hao Li, Feng-Xian Ji et al. · 0 citations
Jul 2026

OrchBench: Evaluating Multi-Agent Orchestration Plans in Isolation via Deterministic Simulation

OrchBench is established as an efficient and interpretable benchmark for comparing and diagnosing multi-agent orchestration plans, finding that preserving task-critical information is more important than simply increasing the number of agents, and the benefits of parallelism diminish as coordination failures accumulate...

Zhenzhen Ren, Jiyan He, Xinpeng Zhang et al. · 0 citations
Preprint Aug 2026

Hierarchical Graph Memory for LLM Agents with Path-level Localization and Rewrite

This work proposes HiGram, an evolving hierarchical graph memory framework with path-level localization and rewriting, which organizes the memory into coarse-to-fine architecture composed of upper-level nodes and MemoryUnits, thereby reducing the amount of irrelevant information during retrieval.

Xiawei Yue, Boran Wang, Xiaoqing Zhang et al. · 0 citations

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