Research at aiXplain
We believe that active research contribution within the AI community is crucial for advancing our industry in proactive and beneficial ways. Throughout their careers, our team of AI scientists and engineers has consistently published their findings to actively participate in academic discourse.
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Hassan Sawaf Founder & CEO -
Kamer Yuksel Head of AI Solutions Lab -
Kareem Darwish Head of Human-AI Interaction -
Mohamed Elbadrashiny Head of Core Platform -
Sanjika Hewavitharana Staff Applied Scientist -
Yunsu Kim Senior Applied Scientist -
Golara Javadi Applied Scientist -
Thiago Castro Ferreira Applied Scientist -
Ahmet Gunduz AI/ML Research Engineer -
Shreyas Sharma AI/ML Research Engineer -
Lucas Pavanelli AI/ML Research Engineer -
Michael Lam AI/ML Research Engineer -
Ashraf Hatim AI/ML Research Engineer -
Muhammad Elmallah AI/ML Research Engineer -
Abdul Basit Anees Research Engineer -
AhmedElmogtaba Abdelaziz AI/ML Engineer -
Abdelrahman El-Sheikh Software Engineer
Publications from aiXplain
Imaginary Numbers! Evaluating Numerical Referring Expressions by Neural End-to-End Surface Realization Systems
NAACL 2024
An Automated End-to-End Open-Source Software for Generation for High-Quality Text-to-Speech Datasets
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LREC-COLING 2024
Arabic Diacritization Using Morphologically Informed Character-Level Model
LREC-COLING 2024
Denoising Table-Text Retrieval for Open-Domain Question Answering
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LREC-COLING 2024
Explainable Multi-hop Question Generation: An End-to-End Approach without Intermediate Question Labeling
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LREC-COLING 2024
Leveraging the Interplay Between Syntactic and Acoustic Cues for Optimizing Korean TTS Pause Formation
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LREC-COLING 2024
LLM-based MT Data Creation: Dialectal to MSA Translation Shared Task
OSACT6 – LREC-COLING 2024
OSACT6 Dialect to MSA Translation Shared Task Overview
OSACT6 – LREC-COLING 2024
Enhancing Zero-Shot Multi-Speaker TTS with Negated Speaker Representations
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AAAI 2024
Autoregressive Score Generation for Multi-Trait Essay Scoring
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EACL 2024
Word-Level ASR Quality Estimation for Efficient Corpus Sampling and Post-Editing through Analyzing Attentions of a Reference-Free Metric
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Satellite Workshops – ICASSP 2024
SADA: Saudi Audio
 Dataset for Arabic
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ICASSP 2024
Generative Meta-Learning Robust Quality-Diversity Portfolio
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GECCO 2023
EvolveMT: An Ensemble MT Engine Improving Itself with Usage Only
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Industry Track – ACL 2023
A Reference-less Quality Metric for Automatic Speech Recognition via Contrastive-Learning of a Multi-Language Model with Self-Supervision
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Satellite Workshops – ICASSP 2023
Evaluating Multilingual Speech Translation Under Realistic Conditions with Resegmentation and Terminology
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IWSLT – ACL 2023
NoRefER: a Referenceless Quality Metric for Automatic Speech Recognition via Semi-Supervised Language Model Fine-Tuning with Contrastive Learning
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INTERSPEECH 2023
Semi-Supervised Co-Teaching for Monitoring Motor States of Parkinson’s Disease Patients
ECML PKDD 2023
Adversarial Text-to-Speech for Low-Resource Languages
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WANLP – ACL 2022
aiXplain at Arabic Hate Speech 2022: An Ensemble Based Approach to Detecting Offensive Tweets
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OSACT5 2022
Efficient Machine Translation Corpus Generation
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AMTA – ACL 2022
Gulf Arabic Diacritization: Guidelines, Initial Dataset, and Results
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WANLP – ACL 2022
MTLens: Debugging Machine Translation Systems Based on Their Output
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LREC 2022
A Retrieve and Refine Approach for RDF-to-Text
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WeCNLP 2021
Benchmark ’em All: A Unified Benchmarking Framework for Machine Translation
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WeCNLP 2021
Towards an Automated Approach for the Choice of Machine Translation Provider
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WeCNLP 2021
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