Papers by Boci Peng

2 papers
M³GQA: A Multi-Entity Multi-Hop Multi-Setting Graph Question Answering Benchmark (2025.acl-long)

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Challenge: GraphRAG systems have achieved remarkable progress in enhancing performance and reliability of large language models.
Approach: They propose a GraphRAG benchmark focusing on multi-entity queries with six settings for comprehensive evaluation.
Outcome: The proposed method can construct diverse data with semantically correct ground-truth reasoning paths.
COSMOS: Connectivity-Oriented Submodular Maximization for Optimal Subgraph Retrieval (2026.acl-long)

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Challenge: Existing paradigms treat facts independently or employ myopic search, failing to optimize collective subgraph utility.
Approach: They propose a framework that formalizes evidence retrieval as a constrained submodular maximization problem.
Outcome: The proposed framework captures the trade-off between information relevance and structural complexity.

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