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Entity Resolution On Abt Buy

Métriques

F1 (%)

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	F1 (%)	Paper Title	Repository
RoBERTa-SupCon	94.29	Supervised Contrastive Learning for Product Matching
DADER-MMD	72.60	Domain Adaptation for Deep Entity Resolution: A Design Space Exploration
Meta-Llama-3.1-8B-Instruct	56.57	Fine-tuning Large Language Models for Entity Matching
Meta-Llama-3.1-70B-Instruct	79.12	Fine-tuning Large Language Models for Entity Matching
gpt4-0613_zeroshot	95.78	Entity Matching using Large Language Models
Meta-Llama-3.1-8B-Instruct_fine_tuned	87.34	Fine-tuning Large Language Models for Entity Matching
RobEM	90.90	Probing the Robustness of Pre-trained Language Models for Entity Matching
Random Forest	85.00	Profiling Entity Matching Benchmark Tasks
JointBERT	83.44	Dual-Objective Fine-Tuning of BERT for Entity Matching
D-HAT	53.9	Deduplication Over Heterogeneous Attribute Types (D-HAT)
gpt-4o-2024-08-06	92.20	Fine-tuning Large Language Models for Entity Matching
gpt-4o-mini-2024-07-18_fine_tuned	94.09	Fine-tuning Large Language Models for Entity Matching
gpt-4o-mini-2024-07-18	87.68	Fine-tuning Large Language Models for Entity Matching
Ditto	89.33	Deep Entity Matching with Pre-Trained Language Models
HG	89.8	Entity Resolution with Hierarchical Graph Attention Networks
DeepMatcher - Hybrid	62.80	Deep Learning for Entity Matching: A Design Space Exploration

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