1 citations · 1 across the 4 of their papers we have counts for
4 papers · 1 filter
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…
Domain Specific Sub-network for Multi-Domain Neural Machine Translation
Amr Hendy, Mohamed Abdelghaffar, Mohamed Afify +1
This paper presents Domain-Specific Sub-network (DoSS). It uses a set of masks obtained through pruning to define a sub-network for each domain and finetunes the sub-network parame…
Ensembling of Distilled Models from Multi-task Teachers for Constrained Resource Language Pairs
Amr Hendy, Esraa A. Gad, Mohamed Abdelghaffar +4
This paper describes our submission to the constrained track of WMT21 shared news translation task. We focus on the three relatively low resource language pairs Bengali to and from…
Score Combination for Improved Parallel Corpus Filtering for Low Resource Conditions
Muhammad N. ElNokrashy, Amr Hendy, Mohamed Abdelghaffar +3
This paper describes our submission to the WMT20 sentence filtering task. We combine scores from (1) a custom LASER built for each source language, (2) a classifier built to distin…