AutoPKG is a multi-agent LLM framework that dynamically constructs product-attribute knowledge graphs from multimodal content, reporting high WKE scores on Lazada data and GMV lifts of 3.81-7.89% in production A/B tests.
Med- KGent: A large language model agent framework for constructing temporally evolving medical knowledge graph
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
ChronoMedKG builds a temporal biomedical KG with 460k evidence-linked triples across 13k diseases using LLM consensus and introduces the ChronoTQA benchmark showing RAG gains on time-sensitive questions.
citing papers explorer
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AutoPKG: An Automated Framework for Dynamic E-commerce Product-Attribute Knowledge Graph Construction
AutoPKG is a multi-agent LLM framework that dynamically constructs product-attribute knowledge graphs from multimodal content, reporting high WKE scores on Lazada data and GMV lifts of 3.81-7.89% in production A/B tests.
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ChronoMedKG: A Temporally-Grounded Biomedical Knowledge Graph and Benchmark for Clinical Reasoning
ChronoMedKG builds a temporal biomedical KG with 460k evidence-linked triples across 13k diseases using LLM consensus and introduces the ChronoTQA benchmark showing RAG gains on time-sensitive questions.