ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2304.12329
  4. Cited By
Pre-trained Embeddings for Entity Resolution: An Experimental Analysis
  [Experiment, Analysis & Benchmark]

Pre-trained Embeddings for Entity Resolution: An Experimental Analysis [Experiment, Analysis & Benchmark]

24 April 2023
Alexandros Zeakis
G. Papadakis
Dimitrios Skoutas
Manolis Koubarakis
ArXivPDFHTML

Papers citing "Pre-trained Embeddings for Entity Resolution: An Experimental Analysis [Experiment, Analysis & Benchmark]"

12 / 12 papers shown
Title
Zero-Indexing Internet Search Augmented Generation for Large Language Models
Zero-Indexing Internet Search Augmented Generation for Large Language Models
Guangxin He
Zonghong Dai
Jiangcheng Zhu
Binqiang Zhao
Qicheng Hu
Chenyue Li
You Peng
Chen Wang
Binhang Yuan
69
0
0
31 Dec 2024
KcMF: A Knowledge-compliant Framework for Schema and Entity Matching with Fine-tuning-free LLMs
KcMF: A Knowledge-compliant Framework for Schema and Entity Matching with Fine-tuning-free LLMs
Yongqin Xu
Huan Li
Ke Chen
Lidan Shou
45
2
0
16 Oct 2024
Evaluating Blocking Biases in Entity Matching
Evaluating Blocking Biases in Entity Matching
Mohammad Hossein Moslemi
Harini Balamurugan
Mostafa Milani
21
1
0
24 Sep 2024
Fine-tuning Large Language Models for Entity Matching
Fine-tuning Large Language Models for Entity Matching
Aaron Steiner
R. Peeters
Christian Bizer
LRM
34
5
0
12 Sep 2024
Learning from Natural Language Explanations for Generalizable Entity
  Matching
Learning from Natural Language Explanations for Generalizable Entity Matching
Somin Wadhwa
Adit Krishnan
Runhui Wang
Byron C. Wallace
Chris Kong
LRM
42
3
0
13 Jun 2024
Towards Universal Dense Blocking for Entity Resolution
Towards Universal Dense Blocking for Entity Resolution
Tianshu Wang
Hongyu Lin
Xianpei Han
Xiaoyang Chen
Boxi Cao
Le Sun
38
1
0
23 Apr 2024
On Leveraging Large Language Models for Enhancing Entity Resolution
On Leveraging Large Language Models for Enhancing Entity Resolution
Huahang Li
Longyu Feng
Shuangyin Li
Fei Hao
C. Zhang
Yuanfeng Song
Lei Chen
14
0
0
07 Jan 2024
Entity Matching using Large Language Models
Entity Matching using Large Language Models
R. Peeters
Christian Bizer
27
11
0
17 Oct 2023
EAGER: Embedding-Assisted Entity Resolution for Knowledge Graphs
EAGER: Embedding-Assisted Entity Resolution for Knowledge Graphs
Daniel Obraczka
Jonathan Schuchart
Erhard Rahm
28
19
0
15 Jan 2021
A Survey on Contextual Embeddings
A Survey on Contextual Embeddings
Qi Liu
Matt J. Kusner
Phil Blunsom
219
146
0
16 Mar 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
297
6,956
0
20 Apr 2018
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
239
31,253
0
16 Jan 2013
1