11 citations · 20 across the 8 of their papers we have counts for
8 papers
Conversational Topic Recommendation in Counseling and Psychotherapy with Decision Transformer and Large Language Models
Aylin Gunal, Baihan Lin, Djallel Bouneffouf
Given the increasing demand for mental health assistance, artificial intelligence (AI), particularly large language models (LLMs), may be valuable for integration into automated cl…
Utterance Classification with Logical Neural Network: Explainable AI for Mental Disorder Diagnosis
Yeldar Toleubay, Don Joven Agravante, Daiki Kimura +3
In response to the global challenge of mental health problems, we proposes a Logical Neural Network (LNN) based Neuro-Symbolic AI method for the diagnosis of mental disorders. Due…
Towards Healthy AI: Large Language Models Need Therapists Too
Baihan Lin, Djallel Bouneffouf, Guillermo Cecchi +1
Recent advances in large language models (LLMs) have led to the development of powerful AI chatbots capable of engaging in natural and human-like conversations. However, these chat…
Psychotherapy AI Companion with Reinforcement Learning Recommendations and Interpretable Policy Dynamics
Baihan Lin, Guillermo Cecchi, Djallel Bouneffouf
We introduce a Reinforcement Learning Psychotherapy AI Companion that generates topic recommendations for therapists based on patient responses. The system uses Deep Reinforcement…
A Reinforcement Learning Framework for Online Speaker Diarization
Baihan Lin, Xinxin Zhang
Speaker diarization is a task to label an audio or video recording with the identity of the speaker at each given time stamp. In this work, we propose a novel machine learning fram…
TherapyView: Visualizing Therapy Sessions with Temporal Topic Modeling and AI-Generated Arts
Baihan Lin, Stefan Zecevic, Djallel Bouneffouf +1
We present the TherapyView, a demonstration system to help therapists visualize the dynamic contents of past treatment sessions, enabled by the state-of-the-art neural topic modeli…