mlsanityData to 7 Oct 2026

Overview of the BioLaySumm 2024 Shared Task on the Lay Summarization of Biomedical Research Articles

arXiv 2408.08566 ↗First posted 16 Aug 2024cs.CLcited by 18

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Abstract (arXiv)

This paper presents the setup and results of the second edition of the BioLaySumm shared task on the Lay Summarisation of Biomedical Research Articles, hosted at the BioNLP Workshop at ACL 2024. In this task edition, we aim to build on the first edition's success by further increasing research interest in this important task and encouraging participants to explore novel approaches that will help advance the state-of-the-art. Encouragingly, we found research interest in the task to be high, with this edition of the task attracting a total of 53 participating teams, a significant increase in engagement from the previous edition. Overall, our results show that a broad range of innovative approaches were adopted by task participants, with a predictable shift towards the use of Large Language Models (LLMs).

Key facts. Cited by 18 papers in the map (data through 7 Oct 2026). Builds on 15 of its 30 references that are in the map. First posted on arXiv 16 Aug 2024.

Builds on

15 of 30 references.

References · 15

  1. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,491
  2. 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,084
  3. 2023Direct Preference Optimization: Your Language Model is Secretly a Reward Modelcited by 7,916
  4. 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,874
  5. 2019BERTScore: Evaluating Text Generation with BERTcited by 5,462
  6. 2020Longformer: The Long-Document Transformercited by 3,362
  7. 2019PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarizationcited by 1,100
  8. 2022BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Miningcited by 531
  9. 2023AlignScore: Evaluating Factual Consistency with a Unified Alignment Functioncited by 284
  10. 2022BioBART: Pretraining and Evaluation of A Biomedical Generative Language Modelcited by 83
  11. 2021Codabench: Flexible, Easy-to-Use and Reproducible Benchmarking Platformcited by 65
  12. 2022Making Science Simple: Corpora for the Lay Summarisation of Scientific Literaturecited by 54
3 more
  1. 2022LENS: A Learnable Evaluation Metric for Text Simplificationcited by 54
  2. 2024RAG-RLRC-LaySum at BioLaySumm: Integrating Retrieval-Augmented Generation and Readability Control for Layman Summarization of Biomedical Textscited by 23
  3. 2024WisPerMed at BioLaySumm: Adapting Autoregressive Large Language Models for Lay Summarization of Scientific Articlescited by 1

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 3; 2025: 9; 2026: 6.

18 papers.

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  1. 2024RSA-Control: A Pragmatics-Grounded Lightweight Controllable Text Generation Frameworkcited by 11
  2. 2025Evaluating the Evaluators: Are readability metrics good measures of readability?cited by 6
  3. 2025Magical: Medical Lay Language Generation via Semantic Invariance and Layperson-tailored Adaptationcited by 5
  4. 2025Compressing Language Models for Specialized Domainscited by 4
  5. 2026Confident Rankings with Fewer Items: Adaptive LLM Evaluation with Continuous Scorescited by 4
  6. 2024Evaluation of Large Language Models for Summarization Tasks in the Medical Domain: A Narrative Reviewcited by 3
  7. 2025Sci-LoRA: Mixture of Scientific LoRAs for Cross-Domain Lay Paraphrasingcited by 3
  8. 2024A Critical Look at Meta-evaluating Summarisation Evaluation Metricscited by 2
  9. 2025Are LLM-generated plain language summaries truly understandable? A large-scale crowdsourced evaluationcited by 2
  10. 2025Introducing Spotlight: A Novel Approach for Generating Captivating Key Information from Documentscited by 1
  11. 2025PERCS: Persona-Guided Controllable Biomedical Summarization Datasetcited by 1
  12. 2026MedLayBench-V: A Large-Scale Benchmark for Expert-Lay Semantic Alignment in Medical Vision Language Modelscited by 1
6 more
  1. 2025Am I eligible? Natural Language Inference for Clinical Trial Patient Recruitment: the Patient's Point of Viewcited by 0
  2. 2025Making Knowledge Accessible: Divergent Readability-Accuracy Strategies of Mistral and QWen in Biomedical Text Simplificationcited by 0
  3. 2026No Reader Left Behind: Multi-Agent Summaries Everyone Can Understandcited by 0
  4. 2026MEDLAYXPLAIN: Benchmarking the Expert-Lay Gap in Medical Vision-Language Modelscited by 0
  5. 2026Improving Health Literacy through Lay Summarization of Radiological Reports: An Evaluation of BioNER and Retrieval-Augmented Generationcited by 0
  6. 2026Enhancing Accessibility of Medical Texts through Large Language Model-Driven Plain Language Adaptationcited by 0