Papers by Xueying Zhang

2 papers
Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition (2025.coling-main)

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Challenge: Current Large Language Models struggle with complex entity taxonomies in open domains and lack NER capabilities.
Approach: They propose a dataset to guide LLMs' generalization in Open NER under a universal entity taxonomy.
Outcome: The proposed model outperforms GPT-4 in 3 out-of-domain benchmarks across 15 datasets and 6 languages.
Classifying and Addressing the Diversity of Errors in Retrieval-Augmented Generation Systems (2026.eacl-long)

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Challenge: Existing work on RAG errors has not accounted for the complexity of real-world RAG systems and their failure modes.
Approach: They propose a taxonomy of error types that can occur in realistic RAG systems and an auto-evaluation method that can be used to track errors during development.
Outcome: The proposed method can be used in practice to track and address errors during development.

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