--- title: "Solmaz Panahi — author profile and papers — Elamur Research" description: "Solmaz Panahi, National University of Ireland, Maynooth: 2 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors…" canonical: "https://research.elamur.ai/free/en/authors/solmaz-panahi/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/solmaz-panahi/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Solmaz Panahi # Solmaz Panahi Solmaz Panahi has 2 papers in our library, in 2026, most of them on [Low-resource languages](https://md.research.elamur.ai/free/en/topics/low-resource-languages/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [John Kelleher](https://md.research.elamur.ai/free/en/authors/john-kelleher/), [Vasudevan Nedumpozhimana](https://md.research.elamur.ai/free/en/authors/vasudevan-nedumpozhimana/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5130387589) · [ORCID](https://orcid.org/0009-0003-0299-0861) · [**h-index 1**](https://openalex.org/authors/A5130387589) · [4 works](https://openalex.org/works?filter=author.id:A5130387589) · [1 citations](https://openalex.org/works?filter=author.id:A5130387589&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/solmaz-panahi/#papers) · 🔗 Cited 1 time in our library · [⭐ Paper Stars ranking: #11269](https://md.research.elamur.ai/free/en/paper-stars/page/113/#star-11269) 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=Solmaz+Panahi) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Solmaz+Panahi) · [dblp](https://dblp.org/search?q=Solmaz+Panahi) · [ACL Anthology](https://aclanthology.org/search/?q=Solmaz+Panahi) ## Affiliations [🎓**National University of Ireland, Maynooth** Maynooth · Ireland 2023–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/national-university-of-ireland-maynooth/) 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 2 Research subjects and languages the work is about.[Low-resource languages · 2 works](https://md.research.elamur.ai/free/en/topics/low-resource-languages/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/solmaz-panahi/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[SynthLLM: An LLM-based Scalable Synthetic Data Generation Pipeline for Low-Resource Languages](https://md.research.elamur.ai/free/en/papers/panahi-2026-synthllm-llm-based-scalable-synthetic/)** *(2026 · 1 citation)* Farsi has far too little labeled data for Natural Language Inference (NLI). The largest existing set has under 10K examples, and ParsiNLU has only about 2.7K hand-made items. Translating English corpora tends to introduce artifacts. The authors propose a two-stage pipeline for any classification task on text pairs. A… 2. **[When LLMs Annotate: Reliability Challenges in Low-Resource NLI](https://md.research.elamur.ai/free/en/papers/panahi-2026-when-llms-annotate-reliability-challenges/)** *(2026 · 1 citation)* The paper asks whether large language models can stand in for human annotators on a demanding semantic task in a low-resource language: Natural Language Inference (NLI) in Farsi. ## Co-authors here 2 co-authors with a page, the most papers together first. - [John Kelleher](https://md.research.elamur.ai/free/en/authors/john-kelleher/) ×2 - [Vasudevan Nedumpozhimana](https://md.research.elamur.ai/free/en/authors/vasudevan-nedumpozhimana/) ×2 ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Workshop on Language Models for Low-Resource Languages](https://md.research.elamur.ai/free/en/venues/loreslm/): [Workshop on Language Models for Low-Resource Languages 2026](https://md.research.elamur.ai/free/en/venues/loreslm/2026/) - [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/): [LREC 2026](https://md.research.elamur.ai/free/en/venues/lrec/2026/) ## Cited by Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read). Updated 31 October 2026