107 citations · 380 across the 68 of their papers we have counts for
6 papers · 1 filter
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…
Interpolating Item and User Fairness in Multi-Sided Recommendations
Qinyi Chen, Jason Cheuk Nam Liang, Negin Golrezaei +1
Today's online platforms heavily lean on algorithmic recommendations for bolstering user engagement and driving revenue. However, these recommendations can impact multiple stakehol…
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…
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…
A Survey on Compositional Generalization in Applications
Baihan Lin, Djallel Bouneffouf, Irina Rish
The field of compositional generalization is currently experiencing a renaissance in AI, as novel problem settings and algorithms motivated by various practical applications are be…