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Yanlin Feng

2 accepted papers

2025

CypherBench: Towards Precise Retrieval over Full-scale Modern Knowledge Graphs in the LLM Era

ACL 2025long

Retrieval from graph data is crucial for augmenting large language models (LLM) with both open-domain knowledge and private enterprise data, and it is also a key component in the recent GraphRAG system (CITATION). Despite decades of research on knowledge graphs and knowledge base question answering,…

2023

Calibrated Seq2seq Models for Efficient and Generalizable Ultra-fine Entity Typing

EMNLP 2023long findings

Ultra-fine entity typing plays a crucial role in information extraction by predicting fine-grained semantic types for entity mentions in text. However, this task poses significant challenges due to the massive number of entity types in the output space. The current state-of-the-art approaches, based…

Cited by 0SourcecodeScholar