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Automated Lay Language Summarization of Biomedical Scientific Reviews
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use BART instead of the pointer-generator model | CDSR summarization · CDSR test | ROUGE-L: 35.81 -> 49.75 | Helped |
| Add CNN/DM intermediate pre-training (ablation) | BART · CDSR test | ROUGE-L: 49.75 -> 49.70 | No clear effect |
| Add PubMed intermediate pre-training (ablation) | BART · CDSR test | Flesch-Kincaid: 13.59 -> 13.30 | Helped |
| Add PubMed intermediate pre-training (ablation) | BART · CDSR test | ROUGE-L: 49.75 -> 49.97 | No clear effect |
| Add sequential CNN/DM and PubMed intermediate pre-training (ablation) | BART · CDSR test | ROUGE-L: 49.75 -> 50.24 | Helped |
| Use BERT extractive instead of Oracle extractive | Extractive summarization · CDSR test | ROUGE-L: 49.56 -> 24.59 | Hurt |
| Use BERT extractive instead of Oracle extractive | Extractive summarization · CDSR test | Flesch-Kincaid: 14.85 -> 13.44 | Helped |
| Use abstractive BART instead of BERT extractive | Summarization · CDSR test | ROUGE-L: 24.59 -> 49.75 | Helped |
| Use abstractive BART instead of BERT extractive | Summarization · CDSR test | Flesch-Kincaid: 13.44 -> 13.59 | No clear effect |
Closest papers by meaning
- MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records (AAAI 2024 · similarity 0.86)
- Magical: Medical Lay Language Generation via Semantic Invariance and Layperson-tailored Adaptation (NeurIPS 2025 · similarity 0.85)
- Evaluating AI-based Scientific Knowledge Synthesis with Epidemiological Systematic Reviews (NeurIPS 2026 · similarity 0.85)
- CLIPSyntel: CLIP and LLM Synergy for Multimodal Question Summarization in Healthcare (AAAI 2024 · similarity 0.85)
- EHRNoteQA: An LLM Benchmark for Real-World Clinical Practice Using Discharge Summaries (NeurIPS 2024 · similarity 0.84)
- MedJourney: Benchmark and Evaluation of Large Language Models over Patient Clinical Journey (NeurIPS 2024 · similarity 0.83)
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