Artefact Research Center<\/span><\/h1><\/div>Bridging the gap between academia and industry applications.<\/h2><\/div><\/div><\/div>![](\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/04\/carre-grand.webp\" "\\"carre-grand\\"")
<\/span><\/div><\/div><\/div><\/div>![](\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/04\/carre-petit.webp\" "\\"carre-small\\"")
<\/span><\/div><\/div><\/div><\/div><\/div>Research on more transparent and ethical models to nurture AI business adoption.<\/h2><\/div><\/div><\/div>![\"ARTEFACT](\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2023\/12\/artefact-research-center.png\" "\\"artefact-research-center\\"")
<\/span><\/div><\/div><\/div><\/div><\/div>Examples of AI biases<\/h3><\/div>\n- AppleCard grants mortgages based on racist criteria<\/li>\n
- Lensa AI sexualizes selfies of women<\/li>\n
- Racist Facebook Image Classification With afro-american as monkeys<\/li>\n
- Microsoft Twitter chatbot becoming nazi, sexist and aggressive<\/li>\n
- ChatGPT that writes a code stating good scientist are white males<\/li>\n<\/ul>\n<\/div><\/div><\/div>
![](\"data:image\/svg+xml,%3Csvg%20xmlns%3D%27http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%27%20width%3D%27600%27%20height%3D%27454%27%20viewBox%3D%270%200%20600%20454%27%3E%3Crect%20width%3D%27600%27%20height%3D%27454%27%20fill-opacity%3D%220%22%2F%3E%3C%2Fsvg%3E\")
<\/div><\/div><\/div><\/div>![](\"data:image\/svg+xml,%3Csvg%20xmlns%3D%27http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%27%20width%3D%27600%27%20height%3D%27352%27%20viewBox%3D%270%200%20600%20352%27%3E%3Crect%20width%3D%27600%27%20height%3D%27352%27%20fill-opacity%3D%220%22%2F%3E%3C%2Fsvg%3E\")
<\/div><\/div>Current challenge<\/h3><\/div>AI models are accurate and easy to deploy in many use cases, but remain uncontrollable due to black boxes & ethical issues.<\/p>\n<\/div><\/div><\/div><\/div><\/div>
The Artefact Research Center’s mission.<\/h2><\/div>A complete ecosystem that bridges the gap between
\nfundamental research and tangible industrial applications.<\/p>\n<\/div>
![\"The](\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2023\/12\/Our-Mission-1.webp\" "\\"Our")
<\/span><\/div><\/div><\/div>![\"Emmanuel](\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2023\/12\/emmanuel-malherbe-2.webp\" "\\"emmanuel-malherbe")
<\/span><\/div>Emmanuel MALHERBE<\/p>\n<\/div>
Head of Research<\/p>\n<\/div>
Research Field: Deep Learning, Machine Learning<\/span><\/p>\n<\/div>Starting with a PhD on NLP models adapted to e-recruitment, Emmanuel has always sought an efficient balance between pure research and impactful applications. His research experience includes 5G time series forecasting for Huawei Technologies and computer vision models for hairdressing and makeup customers at l’Or\u00e9al. Prior to joining Artefact, he worked in Shanghai as the head of AI research for L’Or\u00e9al Asia. Today, his position at Artefact is a perfect opportunity and an ideal environment to bridge the gap between academia and industry, and to foster his real-world research while impacting industrial applications.<\/p>\n<\/div><\/div><\/div><\/div><\/div>
Read our latest Artefact Research Center News<\/h2><\/div><\/span><\/a><\/span>![\"Research](\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2026\/06\/06-jun-News-ARC-2026.png\" "\\"06")
<\/span><\/div>Research Center Newsletter #15 | Releasing Finance Corpus for LLM benchmark, Our Work on Food Labels & DocID for Generative Retrieval at Seminars<\/p><\/div>
Read<\/span><\/a><\/div><\/div><\/div>\n<\/span><\/a><\/span>![\"Research](\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2026\/05\/05-may-News-ARC-2026.png\" "\\"05")
<\/span><\/div>Research Center Newsletter #14 | Woodtapper package for explainable tree-based models published at JOSS, our works at AISTATS & ICLR Conferences<\/p><\/div>
Read<\/span><\/a><\/div><\/div><\/div>\n<\/span><\/a><\/span>![\"Research](\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2026\/05\/04-apr-News-ARC-2026.png\" "\\"04")
<\/span><\/div>Research Center Newsletter #13 – BERT-as-a-Judge for LLM & RAG evaluation, ESWC Paper on Knowledge Graph for Consulting, ECIR double presentation<\/p><\/div>
Read<\/span><\/a><\/div><\/div><\/div>\n<\/span><\/a><\/span>![\"Research](\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2026\/03\/03-mar-News-ARC-2026.png\" "\\"03")
<\/span><\/div>Research Center Newsletter #12 – Our Paper on Encoder training @ICLR, New PhD on Generative Retrieval, EuroBERT as foundation for jina-embeddings<\/p><\/div>
Read<\/span><\/a><\/div><\/div><\/div>\n<\/span><\/a><\/span>![\"Research](\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2026\/03\/02-fev-News-ARC-2026.png\" "\\"02")
<\/span><\/div>Research Center Newsletter #11 – Our study and algorithm for imbalanced scoring @AISTATS, Workshop on Food Consumption, Chunking methods for RAG @ECIR 2026<\/p><\/div>
Bridging the gap between academia and industry applications.<\/h2><\/div><\/div><\/div><\/span><\/div><\/div><\/div><\/div><\/span><\/div><\/div><\/div><\/div><\/div>Research on more transparent and ethical models to nurture AI business adoption.<\/h2><\/div><\/div><\/div><\/span><\/div><\/div><\/div><\/div><\/div>Examples of AI biases<\/h3><\/div>\n- AppleCard grants mortgages based on racist criteria<\/li>\n
- Lensa AI sexualizes selfies of women<\/li>\n
- Racist Facebook Image Classification With afro-american as monkeys<\/li>\n
- Microsoft Twitter chatbot becoming nazi, sexist and aggressive<\/li>\n
- ChatGPT that writes a code stating good scientist are white males<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>
Current challenge<\/h3><\/div>AI models are accurate and easy to deploy in many use cases, but remain uncontrollable due to black boxes & ethical issues.<\/p>\n<\/div><\/div><\/div><\/div><\/div>
The Artefact Research Center’s mission.<\/h2><\/div>A complete ecosystem that bridges the gap between
\nfundamental research and tangible industrial applications.<\/p>\n<\/div>
<\/span><\/div><\/div><\/div><\/span><\/div>Emmanuel MALHERBE<\/p>\n<\/div>
Head of Research<\/p>\n<\/div>
Research Field: Deep Learning, Machine Learning<\/span><\/p>\n<\/div>Starting with a PhD on NLP models adapted to e-recruitment, Emmanuel has always sought an efficient balance between pure research and impactful applications. His research experience includes 5G time series forecasting for Huawei Technologies and computer vision models for hairdressing and makeup customers at l’Or\u00e9al. Prior to joining Artefact, he worked in Shanghai as the head of AI research for L’Or\u00e9al Asia. Today, his position at Artefact is a perfect opportunity and an ideal environment to bridge the gap between academia and industry, and to foster his real-world research while impacting industrial applications.<\/p>\n<\/div><\/div><\/div><\/div><\/div>
Read our latest Artefact Research Center News<\/h2><\/div><\/span><\/a><\/span><\/span><\/div>Research Center Newsletter #15 | Releasing Finance Corpus for LLM benchmark, Our Work on Food Labels & DocID for Generative Retrieval at Seminars<\/p><\/div>
Read<\/span><\/a><\/div><\/div><\/div>\n<\/span><\/a><\/span><\/span><\/div>Research Center Newsletter #14 | Woodtapper package for explainable tree-based models published at JOSS, our works at AISTATS & ICLR Conferences<\/p><\/div>
Read<\/span><\/a><\/div><\/div><\/div>\n<\/span><\/a><\/span><\/span><\/div>Research Center Newsletter #13 – BERT-as-a-Judge for LLM & RAG evaluation, ESWC Paper on Knowledge Graph for Consulting, ECIR double presentation<\/p><\/div>
Read<\/span><\/a><\/div><\/div><\/div>\n<\/span><\/a><\/span><\/span><\/div>Research Center Newsletter #12 – Our Paper on Encoder training @ICLR, New PhD on Generative Retrieval, EuroBERT as foundation for jina-embeddings<\/p><\/div>
Read<\/span><\/a><\/div><\/div><\/div>\n<\/span><\/a><\/span><\/span><\/div>Research Center Newsletter #11 – Our study and algorithm for imbalanced scoring @AISTATS, Workshop on Food Consumption, Chunking methods for RAG @ECIR 2026<\/p><\/div>
<\/span><\/div><\/div><\/div><\/div><\/span><\/div><\/div><\/div><\/div><\/div>Research on more transparent and ethical models to nurture AI business adoption.<\/h2><\/div><\/div><\/div><\/span><\/div><\/div><\/div><\/div><\/div>Examples of AI biases<\/h3><\/div>\n- AppleCard grants mortgages based on racist criteria<\/li>\n
- Lensa AI sexualizes selfies of women<\/li>\n
- Racist Facebook Image Classification With afro-american as monkeys<\/li>\n
- Microsoft Twitter chatbot becoming nazi, sexist and aggressive<\/li>\n
- ChatGPT that writes a code stating good scientist are white males<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>
Current challenge<\/h3><\/div>AI models are accurate and easy to deploy in many use cases, but remain uncontrollable due to black boxes & ethical issues.<\/p>\n<\/div><\/div><\/div><\/div><\/div>
The Artefact Research Center’s mission.<\/h2><\/div>A complete ecosystem that bridges the gap between
\nfundamental research and tangible industrial applications.<\/p>\n<\/div>
<\/span><\/div><\/div><\/div><\/span><\/div>Emmanuel MALHERBE<\/p>\n<\/div>
Head of Research<\/p>\n<\/div>
Research Field: Deep Learning, Machine Learning<\/span><\/p>\n<\/div>Starting with a PhD on NLP models adapted to e-recruitment, Emmanuel has always sought an efficient balance between pure research and impactful applications. His research experience includes 5G time series forecasting for Huawei Technologies and computer vision models for hairdressing and makeup customers at l’Or\u00e9al. Prior to joining Artefact, he worked in Shanghai as the head of AI research for L’Or\u00e9al Asia. Today, his position at Artefact is a perfect opportunity and an ideal environment to bridge the gap between academia and industry, and to foster his real-world research while impacting industrial applications.<\/p>\n<\/div><\/div><\/div><\/div><\/div>
Read our latest Artefact Research Center News<\/h2><\/div><\/span><\/a><\/span><\/span><\/div>Research Center Newsletter #15 | Releasing Finance Corpus for LLM benchmark, Our Work on Food Labels & DocID for Generative Retrieval at Seminars<\/p><\/div>
Read<\/span><\/a><\/div><\/div><\/div>\n<\/span><\/a><\/span><\/span><\/div>Research Center Newsletter #14 | Woodtapper package for explainable tree-based models published at JOSS, our works at AISTATS & ICLR Conferences<\/p><\/div>
Read<\/span><\/a><\/div><\/div><\/div>\n<\/span><\/a><\/span><\/span><\/div>Research Center Newsletter #13 – BERT-as-a-Judge for LLM & RAG evaluation, ESWC Paper on Knowledge Graph for Consulting, ECIR double presentation<\/p><\/div>
Read<\/span><\/a><\/div><\/div><\/div>\n<\/span><\/a><\/span><\/span><\/div>Research Center Newsletter #12 – Our Paper on Encoder training @ICLR, New PhD on Generative Retrieval, EuroBERT as foundation for jina-embeddings<\/p><\/div>
Read<\/span><\/a><\/div><\/div><\/div>\n<\/span><\/a><\/span><\/span><\/div>Research Center Newsletter #11 – Our study and algorithm for imbalanced scoring @AISTATS, Workshop on Food Consumption, Chunking methods for RAG @ECIR 2026<\/p><\/div>
<\/span><\/div><\/div><\/div><\/div><\/div>Examples of AI biases<\/h3><\/div>\n- AppleCard grants mortgages based on racist criteria<\/li>\n
- Lensa AI sexualizes selfies of women<\/li>\n
- Racist Facebook Image Classification With afro-american as monkeys<\/li>\n
- Microsoft Twitter chatbot becoming nazi, sexist and aggressive<\/li>\n
- ChatGPT that writes a code stating good scientist are white males<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>
Current challenge<\/h3><\/div>AI models are accurate and easy to deploy in many use cases, but remain uncontrollable due to black boxes & ethical issues.<\/p>\n<\/div><\/div><\/div><\/div><\/div>
The Artefact Research Center’s mission.<\/h2><\/div>A complete ecosystem that bridges the gap between
\nfundamental research and tangible industrial applications.<\/p>\n<\/div>
<\/span><\/div><\/div><\/div><\/span><\/div>Emmanuel MALHERBE<\/p>\n<\/div>
Head of Research<\/p>\n<\/div>
Research Field: Deep Learning, Machine Learning<\/span><\/p>\n<\/div>Starting with a PhD on NLP models adapted to e-recruitment, Emmanuel has always sought an efficient balance between pure research and impactful applications. His research experience includes 5G time series forecasting for Huawei Technologies and computer vision models for hairdressing and makeup customers at l’Or\u00e9al. Prior to joining Artefact, he worked in Shanghai as the head of AI research for L’Or\u00e9al Asia. Today, his position at Artefact is a perfect opportunity and an ideal environment to bridge the gap between academia and industry, and to foster his real-world research while impacting industrial applications.<\/p>\n<\/div><\/div><\/div><\/div><\/div>
Read our latest Artefact Research Center News<\/h2><\/div><\/span><\/a><\/span><\/span><\/div>Research Center Newsletter #15 | Releasing Finance Corpus for LLM benchmark, Our Work on Food Labels & DocID for Generative Retrieval at Seminars<\/p><\/div>
Read<\/span><\/a><\/div><\/div><\/div>\n<\/span><\/a><\/span><\/span><\/div>Research Center Newsletter #14 | Woodtapper package for explainable tree-based models published at JOSS, our works at AISTATS & ICLR Conferences<\/p><\/div>
Read<\/span><\/a><\/div><\/div><\/div>\n<\/span><\/a><\/span><\/span><\/div>Research Center Newsletter #13 – BERT-as-a-Judge for LLM & RAG evaluation, ESWC Paper on Knowledge Graph for Consulting, ECIR double presentation<\/p><\/div>
Read<\/span><\/a><\/div><\/div><\/div>\n<\/span><\/a><\/span><\/span><\/div>Research Center Newsletter #12 – Our Paper on Encoder training @ICLR, New PhD on Generative Retrieval, EuroBERT as foundation for jina-embeddings<\/p><\/div>
Read<\/span><\/a><\/div><\/div><\/div>\n<\/span><\/a><\/span><\/span><\/div>Research Center Newsletter #11 – Our study and algorithm for imbalanced scoring @AISTATS, Workshop on Food Consumption, Chunking methods for RAG @ECIR 2026<\/p><\/div>
- \n
- AppleCard grants mortgages based on racist criteria<\/li>\n
- Lensa AI sexualizes selfies of women<\/li>\n
- Racist Facebook Image Classification With afro-american as monkeys<\/li>\n
- Microsoft Twitter chatbot becoming nazi, sexist and aggressive<\/li>\n
- ChatGPT that writes a code stating good scientist are white males<\/li>\n<\/ul>\n<\/div><\/div><\/div>
Current challenge<\/h3><\/div>
AI models are accurate and easy to deploy in many use cases, but remain uncontrollable due to black boxes & ethical issues.<\/p>\n<\/div><\/div><\/div><\/div><\/div>
The Artefact Research Center’s mission.<\/h2><\/div>
A complete ecosystem that bridges the gap between
\nfundamental research and tangible industrial applications.<\/p>\n<\/div><\/span><\/div><\/div><\/div><\/span><\/div>Emmanuel MALHERBE<\/p>\n<\/div>
Head of Research<\/p>\n<\/div>
Research Field: Deep Learning, Machine Learning<\/span><\/p>\n<\/div>
Starting with a PhD on NLP models adapted to e-recruitment, Emmanuel has always sought an efficient balance between pure research and impactful applications. His research experience includes 5G time series forecasting for Huawei Technologies and computer vision models for hairdressing and makeup customers at l’Or\u00e9al. Prior to joining Artefact, he worked in Shanghai as the head of AI research for L’Or\u00e9al Asia. Today, his position at Artefact is a perfect opportunity and an ideal environment to bridge the gap between academia and industry, and to foster his real-world research while impacting industrial applications.<\/p>\n<\/div><\/div><\/div><\/div><\/div>
Read our latest Artefact Research Center News<\/h2><\/div>
<\/span><\/a><\/span><\/span><\/div>Research Center Newsletter #15 | Releasing Finance Corpus for LLM benchmark, Our Work on Food Labels & DocID for Generative Retrieval at Seminars<\/p><\/div>
Read<\/span><\/a><\/div><\/div><\/div>\n<\/span><\/a><\/span><\/span><\/div>Research Center Newsletter #14 | Woodtapper package for explainable tree-based models published at JOSS, our works at AISTATS & ICLR Conferences<\/p><\/div>
Read<\/span><\/a><\/div><\/div><\/div>\n<\/span><\/a><\/span><\/span><\/div>Research Center Newsletter #13 – BERT-as-a-Judge for LLM & RAG evaluation, ESWC Paper on Knowledge Graph for Consulting, ECIR double presentation<\/p><\/div>
Read<\/span><\/a><\/div><\/div><\/div>\n<\/span><\/a><\/span><\/span><\/div>Research Center Newsletter #12 – Our Paper on Encoder training @ICLR, New PhD on Generative Retrieval, EuroBERT as foundation for jina-embeddings<\/p><\/div>
Read<\/span><\/a><\/div><\/div><\/div>\n<\/span><\/a><\/span><\/span><\/div>Research Center Newsletter #11 – Our study and algorithm for imbalanced scoring @AISTATS, Workshop on Food Consumption, Chunking methods for RAG @ECIR 2026<\/p><\/div>
![\"Research](\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2026\/01\/CC-Barriere-3.png\" "\\"CC")
<\/span><\/div>![\"Control](\"https:\/\/www.artefact.com\/wp-content\/uploads\/2024\/07\/reliability-e1721295845491.png\" "\\"reliability\\"")
<\/span><\/div>![\"Explainability](\"https:\/\/www.artefact.com\/wp-content\/uploads\/2024\/07\/Ease-of-use-e1721296791575.png\" "\\"Ease-of-use\\"")
<\/span><\/div>![\"Bias](\"https:\/\/www.artefact.com\/wp-content\/uploads\/2024\/07\/predicability-e1721296626412.png\" "\\"predicability\\"")
<\/span><\/div>![\"Obstacles](\"https:\/\/www.artefact.com\/wp-content\/uploads\/2024\/07\/speed-e1721296471270.png\" "\\"speed\\"")
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<\/span><\/div><\/div><\/div><\/div><\/div>![\"Mohamed](\"https:\/\/www.artefact.com\/wp-content\/uploads\/2023\/12\/mohamed-chtiba-1.webp\" "\\"mohamed")
<\/span><\/div>![\"Artefact\"](\"https:\/\/www.artefact.com\/wp-content\/uploads\/2023\/12\/artefact_logo_darkblue-1.webp\" "\\"artefact_logo_darkblue"){kind=logo}
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<\/span><\/div>![\"Jean-Marc](\"https:\/\/www.artefact.com\/wp-content\/uploads\/2023\/12\/jean-marc-bardet-1.webp\" "\\"jean")
<\/span><\/div>![\"Joseph](\"https:\/\/www.artefact.com\/wp-content\/uploads\/2023\/12\/joseph-rynkiewicz-1.webp\" "\\"joseph")
<\/span><\/div>