Image de couverture de livre

Investigating Large Language Models and Control Mechanisms to Improve Text Readability of Biomedical Abstracts

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Li, Zihao, Belkadi, Samuel, Micheletti, Nicolo, Han, Lifeng, Shardlow, Matthew, Nenadic, Goran
Format:	Preprint
Publié:	2023
Sujets:	Computation and Language Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Large Language Models for Biomedical Text Simplification: Promising But Not There Yet
par: Li, Zihao, et autres
Publié: (2024)

Exploration of Masked and Causal Language Modelling for Text Generation
par: Micheletti, Nicolo, et autres
Publié: (2024)

Generating Synthetic Free-text Medical Records with Low Re-identification Risk using Masked Language Modeling
par: Belkadi, Samuel, et autres
Publié: (2024)

Synthetic4Health: Generating Annotated Synthetic Clinical Letters
par: Ren, Libo, et autres
Publié: (2024)

INSIGHTBUDDY-AI: Medication Extraction and Entity Linking using Large Language Models and Ensemble Learning
par: Romero, Pablo, et autres
Publié: (2024)

CANTONMT: Investigating Back-Translation and Model-Switch Mechanisms for Cantonese-English Neural Machine Translation
par: Hong, Kung Yin, et autres
Publié: (2024)

Neural Machine Translation of Clinical Text: An Empirical Investigation into Multilingual Pre-Trained Language Models and Transfer-Learning
par: Han, Lifeng, et autres
Publié: (2023)

A Comparative Study on Automatic Coding of Medical Letters with Explainability
par: Glen, Jamie, et autres
Publié: (2024)

CantonMT: Cantonese to English NMT Platform with Fine-Tuned Models Using Synthetic Back-Translation Data
par: Hong, Kung Yin, et autres
Publié: (2024)

Deanthropomorphising NLP: Can a Language Model Be Conscious?
par: Shardlow, Matthew, et autres
Publié: (2022)

MTUncertainty: Assessing the Need for Post-editing of Machine Translation Outputs by Fine-tuning OpenAI LLMs
par: Gladkoff, Serge, et autres
Publié: (2023)

AutoLLM-CARD: Towards a Description and Landscape of Large Language Models
par: Tian, Shengwei, et autres
Publié: (2024)

Towards a resource for multilingual lexicons: an MT assisted and human-in-the-loop multilingual parallel corpus with multi-word expression annotation
par: Han, Lifeng, et autres
Publié: (2020)

Differential Robustness in Transformer Language Models: Empirical Evaluation Under Adversarial Text Attacks
par: Gidatkar, Taniya, et autres
Publié: (2025)

MaLei at the PLABA Track of TREC 2024: RoBERTa for Term Replacement -- LLaMA3.1 and GPT-4o for Complete Abstract Adaptation
par: Ling, Zhidong, et autres
Publié: (2024)

Emergent Symbolic Mechanisms Support Abstract Reasoning in Large Language Models
par: Yang, Yukang, et autres
Publié: (2025)

BioPars: A Pretrained Biomedical Large Language Model for Persian Biomedical Text Mining
par: Merzah, Baqer M., et autres
Publié: (2025)

A Comprehensive Evaluation of Large Language Models on Benchmark Biomedical Text Processing Tasks
par: Jahan, Israt, et autres
Publié: (2023)

MultiLS: A Multi-task Lexical Simplification Framework
par: North, Kai, et autres
Publié: (2024)

Structured Information Matters: Explainable ICD Coding with Patient-Level Knowledge Graphs
par: Li, Mingyang, et autres
Publié: (2025)

Investigating Large Language Models' Linguistic Abilities for Text Preprocessing
par: Braga, Marco, et autres
Publié: (2025)

Prompt-based Learning for Text Readability Assessment
par: Lee, Bruce W., et autres
Publié: (2023)

BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers
par: Xu, Ran, et autres
Publié: (2024)

GeneGPT: Augmenting Large Language Models with Domain Tools for Improved Access to Biomedical Information
par: Jin, Qiao, et autres
Publié: (2023)

Large Language Models are Miscalibrated In-Context Learners
par: Li, Chengzu, et autres
Publié: (2023)

Optimal path for Biomedical Text Summarization Using Pointer GPT
par: Han, Hyunkyung, et autres
Publié: (2024)

Text Simplification with Sentence Embeddings
par: Shardlow, Matthew
Publié: (2025)

Harnessing Large Language Models for Biomedical Named Entity Recognition
par: Chen, Jian, et autres
Publié: (2025)

CIE: Controlling Language Model Text Generations Using Continuous Signals
par: Samuel, Vinay, et autres
Publié: (2025)

The Emergence of Abstract Thought in Large Language Models Beyond Any Language
par: Chen, Yuxin, et autres
Publié: (2025)

Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models
par: Denison, Carson, et autres
Publié: (2024)

PROXYQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models
par: Tan, Haochen, et autres
Publié: (2024)

Quantized Large Language Models in Biomedical Natural Language Processing: Evaluation and Recommendation
par: Zhan, Zaifu, et autres
Publié: (2025)

De-identification of clinical free text using natural language processing: A systematic review of current approaches
par: Kovačević, Aleksandar, et autres
Publié: (2023)

A Large Language Model Guided Topic Refinement Mechanism for Short Text Modeling
par: Chang, Shuyu, et autres
Publié: (2024)

Executing Natural Language-Described Algorithms with Large Language Models: An Investigation
par: Zheng, Xin, et autres
Publié: (2024)

Improving Attributed Text Generation of Large Language Models via Preference Learning
par: Li, Dongfang, et autres
Publié: (2024)

Taiyi: A Bilingual Fine-Tuned Large Language Model for Diverse Biomedical Tasks
par: Luo, Ling, et autres
Publié: (2023)

When Audio and Text Disagree: Revealing Text Bias in Large Audio-Language Models
par: Wang, Cheng, et autres
Publié: (2025)

BioInstruct: Instruction Tuning of Large Language Models for Biomedical Natural Language Processing
par: Tran, Hieu, et autres
Publié: (2023)