6 papers · 1 filter
ESC-Judge: A Framework for Comparing Emotional Support Conversational Agents
Navid Madani, Rohini Srihari
Large language models (LLMs) increasingly power mental-health chatbots, yet the field still lacks a scalable, theory-grounded way to decide which model is most effective to deploy.…
Beyond Discrete Personas: Personality Modeling Through Journal Intensive Conversations
Sayantan Pal, Souvik Das, Rohini K. Srihari
Large Language Models (LLMs) have significantly improved personalized conversational capabilities. However, existing datasets like Persona Chat, Synthetic Persona Chat, and Blended…
A Recipe For Building a Compliant Real Estate Chatbot
Navid Madani, Anusha Bagalkotkar, Supriya Anand +3
In recent years, there has been significant effort to align large language models with human preferences. This work focuses on developing a chatbot specialized in the real estate d…
Steering Conversational Large Language Models for Long Emotional Support Conversations
Navid Madani, Sougata Saha, Rohini Srihari
In this study, we address the challenge of enabling large language models (LLMs) to consistently adhere to emotional support strategies in extended conversations. We focus on the s…
Mitigating Clickbait: An Approach to Spoiler Generation Using Multitask Learning
Sayantan Pal, Souvik Das, Rohini K. Srihari
This study introduces 'clickbait spoiling', a novel technique designed to detect, categorize, and generate spoilers as succinct text responses, countering the curiosity induced by…
Improving Dialog Safety using Socially Aware Contrastive Learning
Souvik Das, Rohini K. Srihari
State-of-the-art conversational AI systems raise concerns due to their potential risks of generating unsafe, toxic, unethical, or dangerous content. Previous works have developed d…