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LLMAEL: Large Language Models are Good Context Augmenters for Entity Linking
v1v2v3 (latest)

LLMAEL: Large Language Models are Good Context Augmenters for Entity Linking

4 July 2024
Amy Xin
Yunjia Qi
Zijun Yao
Fangwei Zhu
Kaisheng Zeng
Xu Bin
Lei Hou
Juanzi Li
ArXiv (abs)PDFHTMLHuggingFace (4 upvotes)Github (13★)

Papers citing "LLMAEL: Large Language Models are Good Context Augmenters for Entity Linking"

5 / 5 papers shown
Leveraging the Power of Large Language Models in Entity Linking via Adaptive Routing and Targeted Reasoning
Leveraging the Power of Large Language Models in Entity Linking via Adaptive Routing and Targeted Reasoning
Yajie Li
Albert Galimov
Mitra Datta Ganapaneni
Pujitha Thejaswi
De Meng
Priyanshu Kumar
Saloni Potdar
181
1
0
23 Oct 2025
Contextual Augmentation for Entity Linking using Large Language Models
Contextual Augmentation for Entity Linking using Large Language ModelsInternational Conference on Computational Linguistics (COLING), 2025
Daniel Vollmers
Hamada M. Zahera
Diego Moussallem
A. N. Ngomo
154
8
0
17 Oct 2025
REGENT: Relevance-Guided Attention for Entity-Aware Multi-Vector Neural Re-Ranking
REGENT: Relevance-Guided Attention for Entity-Aware Multi-Vector Neural Re-Ranking
Shubham Chatterjee
AI4TS
140
1
0
13 Oct 2025
Can an LLM Induce a Graph? Investigating Memory Drift and Context Length
Can an LLM Induce a Graph? Investigating Memory Drift and Context Length
Raquib Bin Yousuf
Aadyant Khatri
Shengzhe Xu
Mandar Sharma
Naren Ramakrishnan
204
2
0
04 Oct 2025
DeepMEL: A Multi-Agent Collaboration Framework for Multimodal Entity Linking
DeepMEL: A Multi-Agent Collaboration Framework for Multimodal Entity Linking
Fang Wang
Tianwei Yan
Zonghao Yang
Minghao Hu
Jun Zhang
Zhunchen Luo
Xiaoying Bai
VLM
205
1
0
21 Aug 2025
1
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