Attribute Value Extraction
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Benchmarks
Most implemented
Multimodal Joint Attribute Prediction and Value Extraction for E-commerce Product
Scaling up Open Tagging from Tens to Thousands: Comprehension Empowered Attribute Value Extraction from Product Title
OpenTag: Open Attribute Value Extraction from Product Profiles [Deep Learning, Active Learning, Named Entity Recognition]
Scaling E-Commerce Attribute Extraction with Parallel Decoding
Papers
Scaling E-Commerce Attribute Extraction with Parallel Decoding
Customers rely on specific product attributes to compare products and make purchasing decisions, but e-commerce catalogs are messy and unstructured, making it difficult to identify which attributes matter most and extrac…
Attribute Value ExtractionAttribute ExtractionSynthAVE: Scalable Synthetic Labeling for E-Commerce with LLM-Arena Validation
Fine-tuning large language models (LLMs) for e-commerce attribute extraction requires labeled data representative across thousands of product types, attributes, and multiple languages. This combinatorial scale translates…
Attribute Value ExtractionAttribute ExtractionAI-PAVE-Br: Leveraging Large Language Models for Enhanced Product Attribute Value Extraction through a Golden Set Approach
The explosive growth and complexity of product data within the dynamic Brazilian e-commerce landscape demand robust and specialized methods for structured information extraction. Traditional approaches to Product Attribu…
Attribute Value ExtractionInformation ExtractionPrompt EngineeringIndustryBench-MIPU: Benchmarking Multi-Image Attribute Value Extraction for Industrial Products
Industrial products such as valves and circuit breakers are defined by dense technical specifications that govern procurement, compatibility, and safety across supply chains. These specifications are scattered across mul…
Attribute Value ExtractionAttribute ExtractionVisual ReasoningBreaking the Autoregressive Chain: Hyper-Parallel Decoding for Efficient LLM-Based Attribute Value Extraction
Some text generation tasks, such as Attribute Value Extraction (AVE), require decoding multiple independent sequences from the same document context. While standard autoregressive decoding is slow due to its sequential n…
Attribute Value ExtractionAttribute ExtractionText GenerationMADIAVE: Multi-Agent Debate for Implicit Attribute Value Extraction
Implicit Attribute Value Extraction (AVE) is essential for accurately representing products in e-commerce, as it infers latent attributes from multimodal data. Despite advances in multimodal large language models (MLLMs)…
Attribute Value Extraction