Miruna-Adriana Clinciu
Miruna-Adriana Clinciu has 2 papers in our library, in 2021–2022, most of them on Text generation, Multilingual & cross-lingual NLP, Evaluation & benchmarks; often with Antoine Bosselut, Anuoluwapo Aremu, Arjun Subramonian.
OpenAlex · ORCID · h-index 8 · 31 works · 1,461 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 1,756 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #4254
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksSafety Research · 1 workSocial Sciences · 1 work
🧭 Topics 3Research subjects and languages the work is about.Multilingual & cross-lingual NLP · 1 workEvaluation & benchmarks · 1 workText generation · 1 work
Works by year
2020s
Papers
- The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics (2021 · 369 citations)
The authors start from the observation that progress in natural language generation (NLG) is hard to measure. - You reap what you sow: On the Challenges of Bias Evaluation Under Multilingual Settings (2022 · 130 citations)
This BigScience position paper asks how social bias should be evaluated in large language models that cover many languages.
All works
- BLOOM: A 176B-Parameter Open-Access Multilingual Language Model ↗arXiv:2211.05100 · no summary yetBigScience Workshop et al.2022 · 1,606 citations
- The GEM Benchmark: Natural Language Generation, its Evaluation and MetricsWorkshop on Generation, Evaluation and Metrics (GEM)Sebastian Gehrmann, Tosin Adewumi, Karmanya Aggarwal, et al.2021 · 369 citations
- Twenty Years of Confusion in Human Evaluation: NLG Needs Evaluation Sheets and Standardised Definitions ↗Proceedings of the 13th International Conference on Natural Language Generation · no summary yetDavid M. Howcroft et al.2020 · 277 citations
- You reap what you sow: On the Challenges of Bias Evaluation Under Multilingual SettingsBigScience Episode – Workshop on Challenges & Perspectives in Creating Large Language ModelsZeerak Talat, Aurélie Névéol, Stella Biderman, et al.2022 · 130 citations
Co-authors here
- Antoine Bosselut
- Anuoluwapo Aremu
- Arjun Subramonian
- Aurélie Névéol
- Dipanjan Das
- Dragomir Radev
- Esin Durmus
- Kaustubh Dhole
- Khyathi Chandu
- Manan Dey
- Maraim Masoud
- Margaret Mitchell
Venues
- BigScience Episode – Workshop on Challenges & Perspectives in Creating Large Language Models: BigScience Episode – Workshop on Challenges & Perspectives in Creating Large Language Models 2022
- Workshop on Generation, Evaluation and Metrics (GEM): GEM 2021
- Proceedings of the 13th International Conference on Natural Language Generation
Cited by
Updated
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