Attribute Extraction
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Benchmarks
SWDE
Most implemented
MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes
Simplified DOM Trees for Transferable Attribute Extraction from the Web
Scaling E-Commerce Attribute Extraction with Parallel Decoding
Schema-Driven Information Extraction from Heterogeneous Tables
Dissecting Recall of Factual Associations in Auto-Regressive Language Models
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 ExtractionHow Do VLMs Fail? Vision-Operation Misalignment in Compositional VQA
Compositional visual question answering requires Vision-Language Models (VLMs) to execute multiple reasoning operations like object selection, spatial relation resolution, and attribute verification. Despite strong aggre…
Visual Question AnsweringAttribute ExtractionVisual GroundingSynthAVE: 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 ExtractionCheXpercept: A Benchmark for Evaluating Expert-Level Lesion Perception in Chest X-rays
The evaluation of vision-language models (VLMs) for chest X-ray (CXR) analysis has largely been limited to disease-presence classification without visual grounding. Such evaluations fail to verify the expert-level lesion…
Attribute ExtractionDomain AdaptationVisual GroundingIndustryBench-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 ReasoningAREA: Attribute Extraction and Aggregation for CLIP-Based Class-Incremental Learning
Class-Incremental Learning (CIL) is important in building real-world learning systems. In CLIP-based CIL, the model performs classification by comparing similarity between visual and textual embeddings obtained from temp…
class-incremental learningAttribute Extraction