MEDVOC: Vocabulary Adaptation for Fine-tuning Pre-trained Language
Models on Medical Text Summarization

MEDVOC: Vocabulary Adaptation for Fine-tuning Pre-trained Language Models on Medical Text Summarization

7 May 2024

Papers citing "MEDVOC: Vocabulary Adaptation for Fine-tuning Pre-trained Language Models on Medical Text Summarization"

9 / 9 papers shown

Title
HYPEROFA: Expanding LLM Vocabulary to New Languages via Hypernetwork-Based Embedding Initialization Enes Özeren Yihong Liu Hinrich Schütze 31 0 0 21 Apr 2025
FaMeSumm: Investigating and Improving Faithfulness of Medical Summarization Nan Zhang Yusen Zhang Wu Guo P. Mitra Rui Zhang HILM 37 4 0 03 Nov 2023
FactReranker: Fact-guided Reranker for Faithful Radiology Report Summarization Qianqian Xie Jiayu Zhou Yifan Peng Fei Wang HILM MedIm 42 10 0 15 Mar 2023
Leveraging Pretrained Models for Automatic Summarization of Doctor-Patient Conversations Longxiang Zhang Renato M. P. Negrinho Arindam Ghosh V. Jagannathan H. Hassanzadeh Thomas Schaaf Matthew R. Gormley LM&MA AI4MH 82 67 0 24 Sep 2021
How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models Phillip Rust Jonas Pfeiffer Ivan Vulić Sebastian Ruder Iryna Gurevych 80 235 0 31 Dec 2020
Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation Alexander R. Fabbri Simeng Han Haoyuan Li Haoran Li Marjan Ghazvininejad Chenyu You Dragomir R. Radev Yashar Mehdad 123 95 0 24 Oct 2020
PubMedQA: A Dataset for Biomedical Research Question Answering Qiao Jin Bhuwan Dhingra Zhengping Liu William W. Cohen Xinghua Lu 234 815 0 13 Sep 2019
Text Summarization with Pretrained Encoders Yang Liu Mirella Lapata MILM 258 1,433 0 22 Aug 2019
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,746 0 26 Sep 2016