NLPExplorer

BioNLP - 2025

Total Papers:- 70

Total Papers accross all years:- 571

Total Citations :- 0

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Shared Task at Biolaysumm2025 : Extract then summarize approach Augmented with UMLS based Definition Retrieval for Lay Summary generation.

Aaradhya Gupta | Parameswari Krishnamurthy |

VeReaFine: Iterative Verification Reasoning Refinement RAG for Hallucination-Resistant on Open-Ended Clinical QA

UNIBUC-SD at ArchEHR-QA 2025: Prompting Our Way to Clinical QA with Multi-Model Ensembling

Dragos Ghinea | Ștefania Rîncu |

Questioning Our Questions: How Well Do Medical QA Benchmarks Evaluate Clinical Capabilities of Language Models?

Siun Kim | Hyung-Jin Yoon |

Effect of Multilingual and Domain-adapted Continual Pre-training on Few-shot Promptability

Ken Yano | Makoto Miwa |

Understanding the Impact of Confidence in Retrieval Augmented Generation: A Case Study in the Medical Domain

LAILab at ArchEHR-QA 2025: Test-time scaling for evidence selection in grounded question answering from electronic health records

LaySummX at BioLaySumm: Retrieval-Augmented Fine-Tuning for Biomedical Lay Summarization Using Abstracts and Retrieved Full-Text Context

Fan Lin | Dezhi Yu |

Benchmarking zero-shot biomedical relation triplet extraction across language model architectures

Frederik Gade | Ole Lund | Marie Lisandra Mendoza |

Converting Annotated Clinical Cases into Structured Case Report Forms

Pietro Ferrazzi | Alberto Lavelli | Bernardo Magnini |

ArgHiTZ at ArchEHR-QA 2025: A Two-Step Divide and Conquer Approach to Patient Question Answering for Top Factuality

5cNLP at BioLaySumm2025: Prompts, Retrieval, and Multimodal Fusion

Proceedings of the 24th Workshop on Biomedical Language Processing

Dina Demner-Fushman | Sophia Ananiadou | Makoto Miwa | Junichi Tsujii |

Team XSZ at BioLaySumm2025: Section-Wise Summarization, Retrieval-Augmented LLM, and Reinforcement Learning Fine-Tuning for Lay Summaries

Pengcheng Xu | Sicheng Shen | Jieli Zhou | Hongyi Xin |