Papers by Xiaxia Wang

2 papers
What Breaks Knowledge Graph based RAG? Benchmarking and Empirical Insights into Reasoning under Incomplete Knowledge (2026.eacl-long)

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Challenge: Existing evaluation metrics and lenient answer matching criteria obscure meaningful comparisons.
Approach: They propose a general method for constructing benchmarks and a method to assess KG-RAG methods under incomplete knowledge.
Outcome: The proposed method systematically assesses KG-RAG methods under incomplete knowledge.
TARGA: Targeted Synthetic Data Generation for Practical Reasoning over Structured Data (2025.acl-long)

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Challenge: Existing methods for semantic parsing rely on extensive manually annotated datasets and limited generalization capability to unseen examples.
Approach: They propose a framework that generates high-relevance synthetic data without manual annotation . they generate queries for the queries and use them as demonstrations for in-context learning .
Outcome: The proposed framework outperforms non-fine-tuned methods on KBQA datasets and shows superior sample efficiency, robustness, and generalization capabilities under non-I.I.D. settings.

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