Papers by Yingli Zhou

2 papers
LiCoMemory: Lightweight and Cognitive Agentic Memory for Efficient Long-Term Reasoning (2026.findings-acl)

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Challenge: Large Language Models are constrained by limited context windows and lack of persistent memory . recent efforts address these limitations via external memory architectures .
Approach: They propose an end-to-end agentic memory framework for real-time updating and retrieval that integrates hierarchical and temporal indexing layers.
Outcome: The proposed framework outperforms established benchmarks in temporal reasoning, multi-session consistency, and retrieval efficiency.
Breaking the Static Graph: Context-Aware Traversal for Graph-Based RAG (2026.findings-acl)

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Challenge: Recent advances in RAG focus on capturing multi-hop dependencies, but static Graphs fail to retrieve complete evidence chain.
Approach: They propose a structure-aware approach to capture multi-hop dependencies using Knowledge Graphs and Personalized PageRank to capture semantic drift.
Outcome: Experiments show that CatRAG outperforms state-of-the-art approaches . the proposed approach achieves substantial improvements in reasoning completeness .

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