Mahnoosh Mehrabani — accepted AI-conference papers

2025

Chain-of-Interactions: Multi-step Iterative ICL Framework for Abstractive Task-Oriented Dialogue Summarization of Conversational AI Interactions

Jason Lucas, John Chen, Ali Al-Lawati, Mahjabin Nahar, Mahnoosh Mehrabani

EMNLP 2025

Large Language Models (LLMs) have introduced paradigm-shifting approaches in natural language processing. Yet, their transformative in-context learning (ICL) capabilities remain underutilized, especially in customer service dialogue summarization—a domain plagued by generative hallucinations, detail

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2021

A Hybrid Approach to Scalable and Robust Spoken Language Understanding in Enterprise Virtual Agents

Ryan Price, Mahnoosh Mehrabani, Narendra Gupta, Yeon-Jun Kim, Shahab Jalalvand, Minhua Chen +2

NAACL 2021industry

Spoken language understanding (SLU) extracts the intended mean- ing from a user utterance and is a critical component of conversational virtual agents. In enterprise virtual agents (EVAs), language understanding is substantially challenging. First, the users are infrequent callers who are unfamiliar…

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2020

Improved End-To-End Spoken Utterance Classification with a Self-Attention Acoustic Classifier

Ryan Price, Mahnoosh Mehrabani, Srinivas Bangalore

ICASSP 2020accepted

While human language provides a natural interface for humanmachine communication, there are several challenges concerning extracting the intents of a speaker when interacting with a virtual agent, especially when the speaker is in a noisy acoustic environment, that still remains to be solved. In thi…

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