OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024

10 October 2024

Xukai Liu

Ye Liu

Kai Zhang

Kehang Wang

Qi Liu

Enhong Chen

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Papers citing "OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting"

6 / 6 papers shown

Leveraging the Power of Large Language Models in Entity Linking via Adaptive Routing and Targeted Reasoning

Yajie Li

Albert Galimov

Mitra Datta Ganapaneni

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Can an LLM Induce a Graph? Investigating Memory Drift and Context Length

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MMGraphRAG: Bridging Vision and Language with Interpretable Multimodal Knowledge Graphs

Xueyao Wan

Hang Yu

VLM

156

28 Jul 2025

LEMONADE: A Large Multilingual Expert-Annotated Abstractive Event Dataset for the Real WorldAnnual Meeting of the Association for Computational Linguistics (ACL), 2025

322

01 Jun 2025

Evaluating Design Decisions for Dual Encoder-based Entity DisambiguationAnnual Meeting of the Association for Computational Linguistics (ACL), 2025

Susanna Rücker

Alan Akbik

388

16 May 2025

Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models

433

25 Jul 2024