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Found 4 papers, 3 papers with code
ECKGBench: Benchmarking Large Language Models in E-commerce Leveraging Knowledge Graph
To bridge the evaluation gap, we propose ECKGBench, a dataset specifically designed to evaluate the capacities of LLMs in e-commerce knowledge.
ChineseEcomQA: A Scalable E-commerce Concept Evaluation Benchmark for Large Language Models
To address these problems, we propose \textbf{ChineseEcomQA}, a scalable question-answering benchmark focused on fundamental e-commerce concepts.
UQABench: Evaluating User Embedding for Prompting LLMs in Personalized Question Answering
To address this concern, we propose \name, a benchmark designed to evaluate the effectiveness of user embeddings in prompting LLMs for personalization.
Cross-relation Cross-bag Attention for Distantly-supervised Relation Extraction
Distant supervision leverages knowledge bases to automatically label instances, thus allowing us to train relation extractor without human annotations.
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