7 papers
Training Therapeutic Judges and Multi-Agent Systems for Human-Aligned Mental Health Support
Mizanur Rahman, Abeer Badawi, Elahe Rahimi +4
Large language models show promise for mental health support, yet therapeutic quality improves only when evaluation functions as an actionable control signal rather than a passive…
Towards Understanding and Measuring COGNITIVE ATROPHY in LLM Behaviour
Abeer Badawi, Moyosoreoluwa Olatosi, Negin Baghbanzadeh +5
Recent incidents involving LLMs used for mental-health support reveal a critical evaluation gap: surface-level safety scores do not capture how models behave across realistic, emot…
OpenMedReason: Scientific Reasoning Supervision for Medical Vision-Language Models
Negin Baghbanzadeh, Pritam Sarkar, Michael Colacci +6
High-stakes clinical use of large vision-language models (LVLMs) requires reasoning that is grounded in visual evidence and clinical knowledge, not just correct final answers. We i…
Keyphrase Generative Representation of Youth Crisis Conversations Beyond Static Taxonomies
Abeer Badawi, Will Aitken, Lydia Sequeira +3
Crisis Responders (CRs) rapidly assess thousands of youth SMS conversations each year to identify mental health concerns and guide support. Yet youth distress is increasingly expre…
Assessing the Quality of Mental Health Support in LLM Responses through Multi-Attribute Human Evaluation
Abeer Badawi, Md Tahmid Rahman Laskar, Elahe Rahimi +6
The escalating global mental health crisis, marked by persistent treatment gaps, availability, and a shortage of qualified therapists, positions Large Language Models (LLMs) as a p…
When Can We Trust LLMs in Mental Health? Large-Scale Benchmarks for Reliable LLM Evaluation
Abeer Badawi, Elahe Rahimi, Md Tahmid Rahman Laskar +6
Evaluating Large Language Models (LLMs) for mental health support is challenging due to the emotionally and cognitively complex nature of therapeutic dialogue. Existing benchmarks…