most citedMatching Tasks to Objectives: Fine-Tuning and Prompt-Tuning Strategies for Encoder-Decoder Pre-trained Language Models

6 citations · 6 across the 1 of their papers we have counts for

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cs.CL2025

CrossPT: Exploring Cross-Task Transferability through Multi-Task Prompt Tuning

Ahmad Pouramini, Hesham Faili

Prompt tuning offers a parameter-efficient way to adapt large pre-trained language models to new tasks, but most existing approaches are designed for single-task settings, failing…

cs.CL2025

PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language

Naghmeh Jamali, Milad Mohammadi, Danial Baledi +2

Medical consumer question answering (CQA) is crucial for empowering patients by providing personalized and reliable health information. Despite recent advances in large language mo…