Cover Image

Evaluation of LLMs in Medical Text Summarization: The Role of Vocabulary Adaptation in High OOV Settings

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Balde, Gunjan, Roy, Soumyadeep, Mondal, Mainack, Ganguly, Niloy
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MEDVOC: Vocabulary Adaptation for Fine-tuning Pre-trained Language Models on Medical Text Summarization
by: Balde, Gunjan, et al.
Published: (2024)

Learning Faster with Better Tokens: Parameter-Efficient Vocabulary Adaptation for Specialized Text Summarization
by: Balde, Gunjan, et al.
Published: (2026)

Adaptive BPE Tokenization for Enhanced Vocabulary Adaptation in Finetuning Pretrained Language Models
by: Balde, Gunjan, et al.
Published: (2024)

Unlocking Efficiency: Adaptive Masking for Gene Transformer Models
by: Roy, Soumyadeep, et al.
Published: (2024)

Beyond Accuracy: Investigating Error Types in GPT-4 Responses to USMLE Questions
by: Roy, Soumyadeep, et al.
Published: (2024)

Evaluating Subword Tokenization: Alien Subword Composition and OOV Generalization Challenge
by: Batsuren, Khuyagbaatar, et al.
Published: (2024)

Order-Based Pre-training Strategies for Procedural Text Understanding
by: Nandy, Abhilash, et al.
Published: (2024)

Leveraging the Power of LLMs: A Fine-Tuning Approach for High-Quality Aspect-Based Summarization
by: Mullick, Ankan, et al.
Published: (2024)

Cost-Performance Optimization for Processing Low-Resource Language Tasks Using Commercial LLMs
by: Nag, Arijit, et al.
Published: (2024)

Long Dialog Summarization: An Analysis
by: Mullick, Ankan, et al.
Published: (2024)

Off-The-Shelf Image-to-Image Models Are All You Need To Defeat Image Protection Schemes
by: Pleimling, Xavier, et al.
Published: (2026)

Efficient Continual Pre-training of LLMs for Low-resource Languages
by: Nag, Arijit, et al.
Published: (2024)

Instruction-Guided Bullet Point Summarization of Long Financial Earnings Call Transcripts
by: Khatuya, Subhendu, et al.
Published: (2024)

On the Role of Summary Content Units in Text Summarization Evaluation
by: Nawrath, Marcel, et al.
Published: (2024)

One Arrow, Many Targets: Probing LLMs for Multi-Attribute Controllable Text Summarization
by: Roy, Tathagato, et al.
Published: (2024)

On The Persona-based Summarization of Domain-Specific Documents
by: Mullick, Ankan, et al.
Published: (2024)

AdaptEval: Evaluating Large Language Models on Domain Adaptation for Text Summarization
by: Afzal, Anum, et al.
Published: (2024)

Less Is More? Selective Visual Attention to High-Importance Regions for Multimodal Radiology Summarization
by: Naznin, Mst. Fahmida Sultana, et al.
Published: (2026)

Evaluating LLMs and Pre-trained Models for Text Summarization Across Diverse Datasets
by: Rehman, Tohida, et al.
Published: (2025)

Fact-Controlled Diagnosis of Hallucinations in Medical Text Summarization
by: BN, Suhas, et al.
Published: (2025)

Navigating Nuance: In Quest for Political Truth
by: Sar, Soumyadeep, et al.
Published: (2025)

Vocab Diet: Reshaping the Vocabulary of LLMs via Vector Arithmetic
by: Reif, Yuval, et al.
Published: (2025)

Multi-Dimensional Evaluation of Text Summarization with In-Context Learning
by: Jain, Sameer, et al.
Published: (2023)

Extrinsically-Focused Evaluation of Omissions in Medical Summarization
by: Schumacher, Elliot, et al.
Published: (2023)

A LongFormer-Based Framework for Accurate and Efficient Medical Text Summarization
by: Sun, Dan, et al.
Published: (2025)

Optimizing LLMs for Italian: Reducing Token Fertility and Enhancing Efficiency Through Vocabulary Adaptation
by: Moroni, Luca, et al.
Published: (2025)

Program of Thoughts for Financial Reasoning: Leveraging Dynamic In-Context Examples and Generative Retrieval
by: Khatuya, Subhendu, et al.
Published: (2025)

References Matter: Investigating the Impact of Reference Set Variation on Summarization Evaluation
by: Casola, Silvia, et al.
Published: (2025)

Reliability Gated Multi-Teacher Distillation for Low Resource Abstractive Summarization
by: Sumit, Dipto, et al.
Published: (2026)

CCSBench: Evaluating Compositional Controllability in LLMs for Scientific Document Summarization
by: Ding, Yixi, et al.
Published: (2024)

Adapted Large Language Models Can Outperform Medical Experts in Clinical Text Summarization
by: Van Veen, Dave, et al.
Published: (2023)

FactPICO: Factuality Evaluation for Plain Language Summarization of Medical Evidence
by: Joseph, Sebastian Antony, et al.
Published: (2024)

How Robust are the Tabular QA Models for Scientific Tables? A Study using Customized Dataset
by: Ghosh, Akash, et al.
Published: (2024)

Abstractive Text Summarization for Bangla Language Using NLP and Machine Learning Approaches
by: Miazee, Asif Ahammad, et al.
Published: (2025)

Multi-LLM Text Summarization
by: Fang, Jiangnan, et al.
Published: (2024)

Comparative Analysis of Open-Source Language Models in Summarizing Medical Text Data
by: Chen, Yuhao, et al.
Published: (2024)

IDALC: A Semi-Supervised Framework for Intent Detection and Active Learning based Correction
by: Mullick, Ankan, et al.
Published: (2025)

Towards Sustainable NLP: Insights from Benchmarking Inference Energy in Large Language Models
by: Poddar, Soham, et al.
Published: (2025)

Gavel: Agent Meets Checklist for Evaluating LLMs on Long-Context Legal Summarization
by: Dou, Yao, et al.
Published: (2026)

QAPyramid: Fine-grained Evaluation of Content Selection for Text Summarization
by: Zhang, Shiyue, et al.
Published: (2024)