3 papers
cs.CL2025
Efficient Intent-Based Filtering for Multi-Party Conversations Using Knowledge Distillation from LLMs
Reem Gody, Mohamed Abdelghaffar, Mohammed Jabreel +1
Large language models (LLMs) have showcased remarkable capabilities in conversational AI, enabling open-domain responses in chat-bots, as well as advanced processing of conversatio…
cs.CL2025
ConvoGen: Enhancing Conversational AI with Synthetic Data: A Multi-Agent Approach
Reem Gody, Mahmoud Goudy, Ahmed Y. Tawfik
In this paper, we present ConvoGen: an innovative framework for generating synthetic conversational data using multi-agent systems. Our method leverages few-shot learning and intro…
eess.AS2022
Unsupervised Fine-Tuning Data Selection for ASR Using Self-Supervised Speech Models
Reem Gody, David Harwath
Self-supervised learning (SSL) has been able to leverage unlabeled data to boost the performance of automatic speech recognition (ASR) models when we have access to only a small am…