19 citations · 147 across the 38 of their papers we have counts for
42 papers
Language-model ratings of depression reflect the rater more than the patient
Baihan Lin
Depression has no diagnostic blood test. Language models promise tireless, consistent assessment, but can accurate raters disagree about individuals? We pre-registered 880 language…
COMPASS 2.0: psychometric representational similarity analysis distinguishes symptom structure from personal signal
Baihan Lin
Language models can score psychiatric questionnaires from speech, but agreement with self-report may reflect the questionnaire rather than the person. We introduce psychometric rep…
Role-guided Speaker Deletion Verification in Clinical Psychiatry Speech Recordings with Audio Language Models
Joseph T Colonel, Daniel Katzman, Kelsey Kirker +6
Clinical research in psychiatry increasingly relies on large scale collection of spoken language data to identify acoustic and linguistic biomarkers. Yet evolving consent and proto…
Distilling Bayesian Belief States into Language Models for Auditable Negotiation
Zongqi Cui, Baihan Lin
Negotiation agents must infer what their counterpart values, update those beliefs over dialogue turns, and choose actions under uncertainty. End-to-end large language models (LLMs)…
Perceptual Reality Transformer: What Must an Illustration Preserve?
Baihan Lin
How can models help people communicate unusual perceptual experiences without changing what they mean? A recognizable image is only part of the answer: accounts also express vividn…
Conversational DNA: A Visual Language and Interactive Atlas of Human and AI Dialogue
Baihan Lin
What makes a conversation hold together when its participants speak across one another? Topic maps offer one view, but they leave the relationships between contributions difficult…
The Gradient of Health Data Privacy
Baihan Lin
In the era of digital health and artificial intelligence, the management of patient data privacy has become increasingly complex, with significant implications for global health eq…
Topological Representational Similarity Analysis in Brains and Beyond
Baihan Lin
Understanding how the brain represents and processes information is crucial for advancing neuroscience and artificial intelligence. Representational similarity analysis (RSA) has b…
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…
The Machine Can't Replace the Human Heart
Baihan Lin
What is the true heart of mental healthcare -- innovation or humanity? Can virtual therapy ever replicate the profound human bonds where healing arises? As artificial intelligence…
COMPASS: Computational Mapping of Patient-Therapist Alliance Strategies with Language Modeling
Baihan Lin, Djallel Bouneffouf, Yulia Landa +3
The therapeutic working alliance is a critical predictor of psychotherapy success. Traditionally, working alliance assessment relies on questionnaires completed by both therapists…
The Topology and Geometry of Neural Representations
Baihan Lin, Nikolaus Kriegeskorte
A central question for neuroscience is how to characterize brain representations of perceptual and cognitive content. An ideal characterization should distinguish different functio…
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…
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…
Working Alliance Transformer for Psychotherapy Dialogue Classification
Baihan Lin, Guillermo Cecchi, Djallel Bouneffouf
As a predictive measure of the treatment outcome in psychotherapy, the working alliance measures the agreement of the patient and the therapist in terms of their bond, task and goa…
Computational Inference in Cognitive Science: Operational, Societal and Ethical Considerations
Baihan Lin
Emerging research frontiers and computational advances have gradually transformed cognitive science into a multidisciplinary and data-driven field. As a result, there is a prolifer…
Reinforcement Learning and Bandits for Speech and Language Processing: Tutorial, Review and Outlook
Baihan Lin
In recent years, reinforcement learning and bandits have transformed a wide range of real-world applications including healthcare, finance, recommendation systems, robotics, and la…
SupervisorBot: NLP-Annotated Real-Time Recommendations of Psychotherapy Treatment Strategies with Deep Reinforcement Learning
Baihan Lin, Guillermo Cecchi, Djallel Bouneffouf
We propose a recommendation system that suggests treatment strategies to a therapist during the psychotherapy session in real-time. Our system uses a turn-level rating mechanism th…
Knowledge Management System with NLP-Assisted Annotations: A Brief Survey and Outlook
Baihan Lin
Knowledge management systems (KMS) are in high demand for industrial researchers, chemical or research enterprises, or evidence-based decision making. However, existing systems hav…
Evolutionary Multi-Armed Bandits with Genetic Thompson Sampling
Baihan Lin
As two popular schools of machine learning, online learning and evolutionary computations have become two important driving forces behind real-world decision making engines for app…