Papers with PrimeKG
GraphRAG-Rad: Concept-Aware Radiology Report Generation via Latent Visual-Semantic Retrieval (2026.eacl-srw)
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| Challenge: | Existing encoder-decoder models suffer from hallucinations, generating plausible but incorrect medical findings. |
| Approach: | They propose a novel architecture that integrates biomedical knowledge through a latent visual-semantic retrieval approach. |
| Outcome: | The proposed architecture achieves competitive performance with strong results across multiple metrics. |
BioHopR: A Benchmark for Multi-Hop, Multi-Answer Reasoning in Biomedical Domain (2025.findings-acl)
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| Challenge: | Existing benchmarks for multi-hop reasoning in biomedical domain are lacking . bioHopR provides benchmarks to evaluate multi-step reasoning in structured biomedic knowledge graphs . |
| Approach: | They propose a benchmark to evaluate multi-hop, multi-answer reasoning in biomedical knowledge graphs. |
| Outcome: | BioHopR evaluates multi-hop reasoning in biomedical knowledge graphs based on the PrimeKG model . it outperforms proprietary models and open-source biomedal models in 1-hop and 2-hop tasks . |