Ioana Buhnila
Lecturer and Researcher in NLP, LiLPa, University of Strasbourg, France
previous website
https://perso.atilf.fr/ibuhnila/
I am a junior Lecturer and Researcher (ATER) at the University of Strasbourg, where I teach various Natural Language Processing (NLP) and Generative Artificial Intelligence (AI) related classes for humanities and linguistics students.
Previously, I worked as a Research Professor (post-doctoral position) on the Elderly Speech Korea Project, at Chosun University, South Korea, under the supervision of Professor Eon-Suk Ko. Here, my research focuses on analyzing linguistic biomarkers of cognitive impairment in neurocognitive disorders and Alzheimer’s dementia, using open-source NLP and AI tools for Korean long-form speech data. I am also involved in evaluating open-source AI tools for automatically transcription of child-directed speech in Korean, while using NLP tools to analyze lexical and semantic patterns for child language development studies.
Before South Korea, I did a two-year postdoc on the automatic processing of scientific articles on brain cancer and medical knowledge simplification using Large Language Models, at ATILF, University of Lorraine-CNRS, France, under Professor Mathieu Constant’s supervision.
I obtained my PhD in Linguistics and NLP from the University of Strasbourg, with the thesis “An Automatic Method for Building a Paraphrase Corpus” (open-source thesis in French), under the supervision of Professor Amalia Todirascu, University of Strasbourg, and Professor Dan Tufis from the Research Institute for Artificial Intelligence (RACAI).
news
| Sep 03, 2026 | I gave a talk at POSTECH MINDS, Pohang, South Korea, on “Natural Language Processing and Large Language Models Methods for the Linguistic Analysis of Adult and Child Texts”. 감사합니다 to Professor Jae-Hun Jung for welcoming me to his mathematics & data science team! |
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| Jun 08, 2026 | I gave a talk during the NLP Seminar at NASK National Research Institute, Poland, about the paper “HalluGuard: Evidence-Grounded Small Reasoning Models to Mitigate Hallucinations in Retrieval-Augmented Generation” (ACL Findings 2026). Many thanks to Wojciech Kusa for the invitation! |
| May 08, 2026 | Two papers, “TrackList: Tracing Back Query Linguistic Diversity for Head and Tail Medical Knowledge in Open Large Language Models”, and “Evaluating LLM-as-a-Judge for Medical Term Simplification”, were accepted to BioNLP 2026!🩺 |
| Apr 06, 2026 | Our paper “HalluGuard: Evidence-Grounded Small Reasoning Models to Mitigate Hallucinations in Retrieval-Augmented Generation” was accepted to ACL 2026 Findings!🌟 |
| Mar 16, 2026 | Our paper “Romance Reflexive Constructions Revisited” was accepted at the Universal Dependencies Workshop 2026 @LREC 2026!🎉 |
selected publications
- pRAGeRetrieve, Generate, Evaluate: A Case Study for Medical Paraphrases Generation with Small Language ModelsIn Proceedings of the 1st Workshop on Towards Knowledgeable Language Models (KnowLLM 2024), ACL 2024, Bangkok, Thailand, August 2024, 2024
- COMWChain-of-MetaWriting: Linguistic and Textual Analysis of How Small Language Models Write Young Students TextsIn Proceedings of the First Workshop on Writing Aids at the Crossroads of AI, Cognitive Science and NLP (WRAICOGS 2025), COLING 2025, Abu Dhabi, UAE, January 2025, 2025
- HalluGuardHalluGuard: Evidence-Grounded Small Reasoning Models to Mitigate Hallucinations in Retrieval-Augmented GenerationFindings of the Association for Computational Linguistics: ACL 2026, San Diego, California, 2026
- CAPConfabulations from acl publications (cap): A dataset for scientific hallucination detectionProceedings of the Fifteenth Language Resources and Evaluation Conference (LREC 2026), 2026
- LangagesApproche interdisciplinaire de la notion de reformulation sous-phrastique médicale: entre la linguistique, le TAL et l’IA générativeLangages, 2025
- ChildDirectedSpeechClassifying Child-Directed Speech and Shared Book Reading from LENA: Language-Specific Modeling and Temporal Resolution EffectsAvailable at SSRN 6359727, 2026