Papers by Navid Madani

2 papers
ESC-Judge: A Framework for Comparing Emotional Support Conversational Agents (2025.emnlp-main)

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Challenge: Large Language Models (LLMs) increasingly power mental-health chatbots . yet the field lacks a scalable, theory-grounded way to decide which model is more effective to deploy.
Approach: They propose a framework that grounds head-to-head comparisons of Emotional-Support LLMs in Hill’s Exploration–Insight–Action counselling model.
Outcome: The proposed framework matches PhD-level annotators in 85% of Exploration, 83% of Insight, and 86% of Action decisions, demonstrating human-level reliability at a fraction of the cost.
A Recipe For Building a Compliant Real Estate Chatbot (2025.coling-industry)

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Challenge: In recent years, there has been significant effort to align large language models with human preferences.
Approach: They propose to use a general instruction-following dataset to generate a chatbot that can be used without perpetuating discriminatory practices like steering and redlining.
Outcome: The proposed model can match closed-source models like GPT-4o while being safer and more compliant.

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