Overview
Build practical baseline systems for identifying insomnia cases and highlighting the evidence that supports the decision.
System design
- Collaborated with the shared-task organizers to define baseline modeling and evaluation workflows
- Evaluated Llama 3 8B and 70B, Qwen2.5-32B-GPTQ, and Qwen3-8B on clinical-note classification
- Measured both patient-level decisions and supporting evidence span quality
- Framed the work so predictions stayed explainable instead of stopping at a single label
Results
- Established shared-task baselines for insomnia classification and evidence extraction
- Produced comparative results across multiple open-source LLM families
- Created a foundation for stronger evidence-aware clinical NLP systems