Enhancing intent recognition in conversational human–computer interaction using LoRA-adapted Qwen2.5-7B
Intent recognition is a fundamental task in conversational human‑computer interaction (HCI) systems, enabling machines to understand user goals from natural language utterances. Most existing approaches rely on small pretrained encoders that struggle with the long‑tail distribution of intent classes. This paper investi...