HyperAI超神经

首页算力平台文档资讯论文教程数据集百科 SOTA LLM 模型天梯 GPU 天梯顶会

中文

HyperAI超神经

Entity Resolution On Amazon Google

评估指标

F1 (%)

评测结果

各个模型在此基准测试上的表现结果

		Paper Title	Repository
gpt4-0613_fewshot-10	85.21	Entity Matching using Large Language Models
gpt-4o-mini-2024-07-18_fine_tuned	80.25	Fine-tuning Large Language Models for Entity Matching
RoBERTa-SupCon	79.28	Supervised Contrastive Learning for Product Matching
RobEM	79.06	Probing the Robustness of Pre-trained Language Models for Entity Matching	-
Random Forest	79.0	Profiling Entity Matching Benchmark Tasks	-
HG	76.4	Entity Resolution with Hierarchical Graph Attention Networks	-
Ditto	75.58	Deep Entity Matching with Pre-Trained Language Models
CorDEL-Sum	70.2	CorDEL: A Contrastive Deep Learning Approach for Entity Linkage	-
DeepMatcher - Hybrid	69.3	Deep Learning for Entity Matching: A Design Space Exploration	-
D-HAT	67.5	Deduplication Over Heterogeneous Attribute Types (D-HAT)	-
text-davinci-002_fewshot-10	63.50	Can Foundation Models Wrangle Your Data?
gpt-4o-2024-08-06	63.45	Fine-tuning Large Language Models for Entity Matching
gpt-4o-mini-2024-07-18	59.20	Fine-tuning Large Language Models for Entity Matching
text-davinci-002_zeroshot	54.30	Can Foundation Models Wrangle Your Data?
Meta-Llama-3.1-70B-Instruct	51.44	Fine-tuning Large Language Models for Entity Matching
Meta-Llama-3.1-8B-Instruct_fine_tuned	50.00	Fine-tuning Large Language Models for Entity Matching
Meta-Llama-3.1-8B-Instruct	49.16	Fine-tuning Large Language Models for Entity Matching

0 of 17 row(s) selected.

Entity Resolution On Amazon Google | SOTA | HyperAI超神经