--- title: "Nakanyseth Vuth — author profile and papers in our library" description: "Nakanyseth Vuth, Institut polytechnique de Grenoble: 2 papers on Elamur Research (2026), h-index 2 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/nakanyseth-vuth/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/nakanyseth-vuth/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Nakanyseth Vuth # Nakanyseth Vuth Nakanyseth Vuth has 2 papers in our library, in 2026, most of them on [Named entity recognition](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/), [Information extraction](https://md.research.elamur.ai/free/en/topics/information-extraction/), [Low-resource languages](https://md.research.elamur.ai/free/en/topics/low-resource-languages/); often with [Didier Schwab](https://md.research.elamur.ai/free/en/authors/didier-schwab/), [Gilles Sérasset](https://md.research.elamur.ai/free/en/authors/gilles-serasset/), [Benjamin Lecouteux](https://md.research.elamur.ai/free/en/authors/benjamin-lecouteux/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5092736570) · [**h-index 2**](https://openalex.org/authors/A5092736570) · [11 works](https://openalex.org/works?filter=author.id:A5092736570) · [4 citations](https://openalex.org/works?filter=author.id:A5092736570&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/nakanyseth-vuth/#papers) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #12155](https://md.research.elamur.ai/free/en/paper-stars/page/122/#star-12155) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Nakanyseth+Vuth) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Nakanyseth+Vuth) · [dblp](https://dblp.org/search?q=Nakanyseth+Vuth) · [ACL Anthology](https://aclanthology.org/search/?q=Nakanyseth+Vuth) ## Affiliations [🔬**Laboratoire d'Informatique de Grenoble** Grenoble · France 2023–2026 · 9 papers*current*](https://md.research.elamur.ai/free/en/labs/laboratoire-d-informatique-de-grenoble/) · [🎓**Université Grenoble Alpes** Saint-Martin-d'Hères · France 2024–2026 · 8 papers*current*](https://md.research.elamur.ai/free/en/universities/universite-grenoble-alpes/) · [🔬**Centre National de la Recherche Scientifique** Paris · France 2024–2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/labs/centre-national-de-la-recherche-scientifique/) · [🎓**Institut polytechnique de Grenoble** Grenoble · France 2024–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/institut-polytechnique-de-grenoble/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 4 Research subjects and languages the work is about.[Information extraction · 1 work](https://md.research.elamur.ai/free/en/topics/information-extraction/) · [Knowledge graphs & ontologies · 1 work](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [Low-resource languages · 1 work](https://md.research.elamur.ai/free/en/topics/low-resource-languages/) · [Named entity recognition · 1 work](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/nakanyseth-vuth/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[From Latents to Labels: Zero-Shot Named Entity Recognition using Sparse Autoencoder Features](https://md.research.elamur.ai/free/en/papers/vuth-2026-latents-labels-zero-shot-named/)** *(2026)* Zero-shot NER is usually done by prompting LLMs, which is costly, sensitive to wording and hard to make consistent, or by probing dense hidden states, where polysemantic neurons make supervision necessary. 2. **[Ontology-Guided Synthetic Data Generation for Low-Resource Information Extraction: A Case Study in IT Heritage Domain](https://md.research.elamur.ai/free/en/papers/vuth-2026-ontology-guided-synthetic-data-generation/)** *(2026)* Building NER and RE systems for niche fields is hard because expert-labelled data is scarce. Existing Reverse-IE methods create synthetic training text from knowledge graphs, but they assume such a knowledge base already exists. The authors drop that assumption and start from a formal ontology instead. Their pipeline… ## All works 3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[From Latents to Labels: Zero-Shot Named Entity Recognition using Sparse Autoencoder Features](https://md.research.elamur.ai/free/en/papers/vuth-2026-latents-labels-zero-shot-named/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Nakanyseth Vuth, Gilles Sérasset, Didier Schwab*2026* 2. **[Ontology-Guided Synthetic Data Generation for Low-Resource Information Extraction: A Case Study in IT Heritage Domain](https://md.research.elamur.ai/free/en/papers/vuth-2026-ontology-guided-synthetic-data-generation/) [Knowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26](https://md.research.elamur.ai/free/en/venues/kallm/)**Nakanyseth Vuth, Emrick Poncet, Gilles Sérasset, et al.*2026* 3. **[“POPCORN-RENS : un nouveau jeu de données en français annoté en entités d'intérêts sur une thématique ““sécurité et défense””” ↗](https://aclanthology.org/2025.jeptalnrecital-evalllm.1/) Actes de l'atelier Évaluation des modèles génératifs (LLM) et challenge 2025 (EvalLLM) · no summary yet**Lucas Aubertin et al.*2025* ## Co-authors here 3 co-authors with a page, the most papers together first. - [Didier Schwab](https://md.research.elamur.ai/free/en/authors/didier-schwab/) ×2 - [Gilles Sérasset](https://md.research.elamur.ai/free/en/authors/gilles-serasset/) ×2 - [Benjamin Lecouteux](https://md.research.elamur.ai/free/en/authors/benjamin-lecouteux/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Knowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26](https://md.research.elamur.ai/free/en/venues/kallm/): [Knowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26 2026](https://md.research.elamur.ai/free/en/venues/kallm/2026/) - [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/): [*SEM 2026](https://md.research.elamur.ai/free/en/venues/starsem/2026/) - Actes de l'atelier Évaluation des modèles génératifs (LLM) et challenge 2025 (EvalLLM) Updated 1 November 2026