Year: 2026
Type: conference-paper
Abstract: This paper demonstrates our system for shared task 4 of #SMM4H-HeaRD 2026 Workshop where a given doctor-patient dialogue is summarized into a clinical note in the corresponding SOAP format.Our proposed solution includes semi-supervised learning together with parameter efficient finetuning (PEFT) applied to a lightweight pre-trained QWEN3.5 model (Qwen Team, 2026).Our model delivers competitive performance relative to its parameter count, and generalizes its performance to unseen test dataset.
Author: Jessica Ying En Wong
Language: English
Topic: Speech and dialogue systems
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7166806208