Papers by Hung Pham Van

2 papers
MemORAI: Memory Organization and Retrieval via Adaptive Graph Intelligence for LLM Conversational Agents (2026.findings-acl)

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Challenge: Existing graph-based memory systems suffer from information dilution, absent provenance tracking, and uniform retrieval that ignores query context.
Approach: They propose a framework that integrates memory organization and retrieval via a Graph Intelligence framework.
Outcome: Evaluated on LOCOMO and LongMemEval benchmarks, MemORAI achieves state-of-the-art performance in memory retrieval and personalized response generation.
MaGiX: A Multi-Granular Adaptive Graph Intelligence Framework for Enhancing Cross-Lingual RAG (2025.findings-emnlp)

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Challenge: Recent advances in Graph-based RAG (GRAG) frameworks focus on knowledge graphs for cross-lingual retrieval.
Approach: They propose a new GRAG framework for cross-lingual question answering . MaGiX constructs a multi-granular cross-linguistic knowledge graph using fine-grained attribute descriptions and cross-synonym edges.
Outcome: The proposed framework outperforms prior GRAG systems in retrieval accuracy and generation quality.

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