6 citations · 6 across the 5 of their papers we have counts for
7 papers
PsyCIDRA: A Dual-Agent Framework for Psychiatric Interviewing and Diagnostic Reasoning
Milad Mohammadi, Fatemeh Akrami Shamsabadi, Zahra Mohseni +4
Large language models show promise in clinical reasoning, but psychiatric interviewing requires guiding an evolving conversation. Their ability to carry out this interactive assess…
Matching Tasks to Objectives: Fine-Tuning and Prompt-Tuning Strategies for Encoder-Decoder Pre-trained Language Models
Ahmad Pouramini, Hesham Faili
Prompt-based learning has emerged as a dominant paradigm in natural language processing. This study explores the impact of diverse pre-training objectives on the performance of enc…
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…
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…
Enhancing Few-Shot Transfer Learning with Optimized Multi-Task Prompt Tuning through Modular Prompt Composition
Ahmad Pouramini, Hesham Faili
In recent years, multi-task prompt tuning has garnered considerable attention for its inherent modularity and potential to enhance parameter-efficient transfer learning across dive…
PerCQA: Persian Community Question Answering Dataset
Naghme Jamali, Yadollah Yaghoobzadeh, Hesham Faili
Community Question Answering (CQA) forums provide answers for many real-life questions. Thanks to the large size, these forums are very popular among machine learning researchers.…
Using BERT Encoding and Sentence-Level Language Model for Sentence Ordering
Melika Golestani, Seyedeh Zahra Razavi, Zeinab Borhanifard +2
Discovering the logical sequence of events is one of the cornerstones in Natural Language Understanding. One approach to learn the sequence of events is to study the order of sente…