activity
20232026
most citedSteering Conversational Large Language Models for Long Emotional Support Conversations

2 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2026

DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction

Reazul Hasan Russel, Mingwei Tang, Rostam Shirani +18

Offsite conversion rate (OCVR) prediction is an important ranking problem in computational recommendation systems. This task presents a modeling challenge: click signals are abunda…

cs.CL2025★ 1 cited

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.…

cs.CL2024

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…

cs.CL2024★ 2 cited

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…

cs.CL2023

Measuring Dimensions of Self-Presentation in Twitter Bios and their Links to Misinformation Sharing

Navid Madani, Rabiraj Bandyopadhyay, Briony Swire-Thompson +2

Social media platforms provide users with a profile description field, commonly known as a ``bio," where they can present themselves to the world. A growing literature shows that t…

cs.LG2023

Domain Specific Question Answering Over Knowledge Graphs Using Logical Programming and Large Language Models

Navid Madani, Rohini K. Srihari, Kenneth Joseph

Answering questions over domain-specific graphs requires a tailored approach due to the limited number of relations and the specific nature of the domain. Our approach integrates c…