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title: "Didier Schwab — papers of 2026 — 5 papers, the most cited first"
description: "Didier Schwab — papers of 2026: 5 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Didier Schwab — papers of 2026 — 5 papers, the most cited first

5 papers · [all years of Didier Schwab](https://md.research.elamur.ai/free/en/authors/didier-schwab/#years)

**[TempPerturb-Eval: On the Joint Effects of Internal Temperature and External Perturbations in RAG Robustness](https://md.research.elamur.ai/free/en/papers/zhou-2026-tempperturb-eval-joint-effects-internal/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Yongxin Zhou, Philippe Mulhem, Didier Schwab*2026 · 1 citation*

**[What Matters to an LLM? Behavioral and Computational Evidences from Summarization](https://md.research.elamur.ai/free/en/papers/zhou-2026-what-matters-llm-behavioral-computational/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yongxin Zhou, Changshun Wu, Philippe Mulhem, et al.*2026 · 1 citation*

**[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*

**[Is Biomedical Specialization Still Worth It? Insights from Domain-Adaptive Language Modelling with a New French Health Corpus](https://md.research.elamur.ai/free/en/papers/mannion-2026-is-biomedical-specialization-still-worth/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Aidan Mannion, Cécile Macaire, Armand Violle, et al.*2026*

**[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*