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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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Meet our research leaders

  • Hassan Sawaf Founder & CEO
  • Kamer Yuksel Head of AI Solutions Lab
  • Mohamed Elbadrashiny Head of Core Platform
  • Kareem Darwish aiXplain Scholar

Publications from aiXplain

HyperGAN-CLIP: A Unified Framework for Domain Adaptation, Image Synthesis and Manipulation

SIGGRAPH Asia 2024

Cross-lingual Transfer for Automatic Question Generation by Learning Interrogative Structures in Target Languages

EMNLP 2024

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Cross-lingual Back-Parsing: Utterance Synthesis from Meaning Representation for Zero-Resource Semantic Parsing

EMNLP 2024

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AutoMode-ASR: Learning to Select ASR Systems for Better Quality and Cost

SPECOM 2024

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An Investigation Into Explainable Audio Hate Speech Detection

SIGDIAL – ACL 2024

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Creating Arabic LLM Prompts at Scale Read the research
aiXplain SDK: A High-Level and Standardized Toolkit for AI Assets

INLG 2024

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Key-Element-Informed sLLM Tuning for Document Summarization

INTERSPEECH 2024

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Multi-Dimensional Optimization for Text Summarization via Reinforcement Learning

ACL 2024

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KpopMT: Translation Dataset with Terminology for Kpop Fandom

LoResMT – ACL 2024

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Imaginary Numbers! Evaluating Numerical Referring Expressions by Neural End-to-End Surface Realization Systems

Insights – NAACL 2024

An Automated End-to-End Open-Source Software for Generation for High-Quality Text-to-Speech Datasets

LREC-COLING 2024

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Arabic Diacritization Using Morphologically Informed Character-Level Model

LREC-COLING 2024

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Denoising Table-Text Retrieval for Open-Domain Question Answering

LREC-COLING 2024

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Explainable Multi-hop Question Generation: An End-to-End Approach without Intermediate Question Labeling

LREC-COLING 2024

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Leveraging the Interplay Between Syntactic and Acoustic Cues for Optimizing Korean TTS Pause Formation

LREC-COLING 2024

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LLM-based MT Data Creation: Dialectal to MSA Translation Shared Task

OSACT6 – LREC-COLING 2024

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OSACT6 Dialect to MSA Translation Shared Task Overview

OSACT6 – LREC-COLING 2024

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Enhancing Zero-Shot Multi-Speaker TTS with Negated Speaker Representations

AAAI 2024

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Autoregressive Score Generation for Multi-Trait Essay Scoring

EACL 2024

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Word-Level ASR Quality Estimation for Efficient Corpus Sampling and Post-Editing through Analyzing Attentions of a Reference-Free Metric

Satellite Workshops – ICASSP 2024

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SADA: Saudi Audio
 Dataset for Arabic

ICASSP 2024

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Generative Meta-Learning Robust Quality-Diversity Portfolio

GECCO 2023

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EvolveMT: An Ensemble MT Engine Improving Itself with Usage Only

Industry Track – ACL 2023

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A Reference-less Quality Metric for Automatic Speech Recognition via Contrastive-Learning of a Multi-Language Model with Self-Supervision

Satellite Workshops – ICASSP 2023

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Evaluating Multilingual Speech Translation Under Realistic Conditions with Resegmentation and Terminology

IWSLT – ACL 2023

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NoRefER: a Referenceless Quality Metric for Automatic Speech Recognition via Semi-Supervised Language Model Fine-Tuning with Contrastive Learning

INTERSPEECH 2023

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Semi-Supervised Co-Teaching for Monitoring Motor States of Parkinson’s Disease Patients

ECML PKDD 2023

Adversarial Text-to-Speech for Low-Resource Languages

WANLP – ACL 2022

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aiXplain at Arabic Hate Speech 2022: An Ensemble Based Approach to Detecting Offensive Tweets

OSACT5 2022

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Efficient Machine Translation Corpus Generation

AMTA – ACL 2022

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Gulf Arabic Diacritization: Guidelines, Initial Dataset, and Results

WANLP – ACL 2022

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MTLens: Debugging Machine Translation Systems Based on Their Output

LREC 2022

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A Retrieve and Refine Approach for RDF-to-Text

WeCNLP 2021

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Benchmark ’em All: A Unified Benchmarking Framework for Machine Translation

WeCNLP 2021

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Towards an Automated Approach for the Choice of Machine Translation Provider

WeCNLP 2021

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