LELA: An End-to-end LLM-based Entity Linking Framework with Zero-shot Domain Adaptation 事件

PRODUCT_LAUNCH2026-05-27影响: MEDIUM

LELA: An End-to-end LLM-based Entity Linking Framework with Zero-shot Domain Adaptation arXiv:2605.26956v1 Announce Type: cross Abstract: Entity linking is a key component of many downstream NLP systems, yet existing approaches are often tied to the specific target knowledge bases and domains, limiting their real world application. In this paper, we extend LELA, a modular and domain-agnostic LLM-based entity disambiguation method, into a practical Python library that integrates zero-shot Named

LELA: An End-to-end LLM-based Entity Linking Framework with Zero-shot Domain Adaptation · 相关人物