3 citations · 3 across the 11 of their papers we have counts for
14 papers
Regime Detection in Latent Factor Models -- A Bayesian Decision-Theoretic Approach
Karl Kristian Engelund
Regime-switching multi-factor models are widely used in quantitative finance, but filtering does not by itself determine when an agent should act on inferred regime changes. We for…
Measuring What Matters!! Assessing Therapeutic Principles in Mental-Health Conversation
Abdullah Mazhar, Het Riteshkumar Shah, Aseem Srivastava +2
The increasing use of large language models in mental health applications calls for principled evaluation frameworks that assess alignment with psychotherapeutic best practices bey…
Redefining Experts: Interpretable Decomposition of Language Models for Toxicity Mitigation
Zuhair Hasan Shaik, Abdullah Mazhar, Aseem Srivastava +1
Large Language Models have demonstrated impressive fluency across diverse tasks, yet their tendency to produce toxic content remains a critical challenge for AI safety and public t…
Assess and Prompt: A Generative RL Framework for Improving Engagement in Online Mental Health Communities
Bhagesh Gaur, Karan Gupta, Aseem Srivastava +2
Online Mental Health Communities (OMHCs) provide crucial peer and expert support, yet many posts remain unanswered due to missing support attributes that signal the need for help.…
Figurative-cum-Commonsense Knowledge Infusion for Multimodal Mental Health Meme Classification
Abdullah Mazhar, Zuhair hasan shaik, Aseem Srivastava +5
The expression of mental health symptoms through non-traditional means, such as memes, has gained remarkable attention over the past few years, with users often highlighting their…
Sentiment-guided Commonsense-aware Response Generation for Mental Health Counseling
Aseem Srivastava, Gauri Naik, Alison Cerezo +2
The crisis of mental health issues is escalating. Effective counseling serves as a critical lifeline for individuals suffering from conditions like PTSD, stress, etc. Therapists fo…
Trust Modeling in Counseling Conversations: A Benchmark Study
Aseem Srivastava, Zuhair Hasan Shaik, Tanmoy Chakraborty +1
In mental health counseling, a variety of earlier studies have focused on dialogue modeling. However, most of these studies give limited to no emphasis on the quality of interactio…
Knowledge Planning in Large Language Models for Domain-Aligned Counseling Summarization
Aseem Srivastava, Smriti Joshi, Tanmoy Chakraborty +1
In mental health counseling, condensing dialogues into concise and relevant summaries (aka counseling notes) holds pivotal significance. Large Language Models (LLMs) exhibit remark…
Exploring the Efficacy of Large Language Models in Summarizing Mental Health Counseling Sessions: A Benchmark Study
Prottay Kumar Adhikary, Aseem Srivastava, Shivani Kumar +7
Comprehensive summaries of sessions enable an effective continuity in mental health counseling, facilitating informed therapy planning. Yet, manual summarization presents a signifi…
Critical Behavioral Traits Foster Peer Engagement in Online Mental Health Communities
Aseem Srivastava, Tanya Gupta, Alison Cerezo +4
Online Mental Health Communities (OMHCs), such as Reddit, have witnessed a surge in popularity as go-to platforms for seeking information and support in managing mental health need…
Response-act Guided Reinforced Dialogue Generation for Mental Health Counseling
Aseem Srivastava, Ishan Pandey, Md. Shad Akhtar +1
Virtual Mental Health Assistants (VMHAs) have become a prevalent method for receiving mental health counseling in the digital healthcare space. An assistive counseling conversation…
Counseling Summarization using Mental Health Knowledge Guided Utterance Filtering
Aseem Srivastava, Tharun Suresh, Sarah Peregrine +3
The psychotherapy intervention technique is a multifaceted conversation between a therapist and a patient. Unlike general clinical discussions, psychotherapy's core components (viz…
A Computational Approach to Understand Mental Health from Reddit: Knowledge-aware Multitask Learning Framework
Usha Lokala, Aseem Srivastava, Triyasha Ghosh Dastidar +4
Analyzing gender is critical to study mental health (MH) support in CVD (cardiovascular disease). The existing studies on using social media for extracting MH symptoms consider sym…
Speaker and Time-aware Joint Contextual Learning for Dialogue-act Classification in Counselling Conversations
Ganeshan Malhotra, Abdul Waheed, Aseem Srivastava +2
The onset of the COVID-19 pandemic has brought the mental health of people under risk. Social counselling has gained remarkable significance in this environment. Unlike general goa…