--- title: "Vraj Shah — author profile and papers — Elamur Research" description: "Vraj Shah, IBM: 2 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/vraj-shah/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/vraj-shah/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Vraj Shah # Vraj Shah Vraj Shah has 2 papers in our library, in 2026, most of them on [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Marina Danilevsky](https://md.research.elamur.ai/free/en/authors/marina-danilevsky/), [Sara Rosenthal](https://md.research.elamur.ai/free/en/authors/sara-rosenthal/), [Yannis Katsis](https://md.research.elamur.ai/free/en/authors/yannis-katsis/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5127261980) · [**h-index 1**](https://openalex.org/authors/A5127261980) · [5 works](https://openalex.org/works?filter=author.id:A5127261980) · [1 citations](https://openalex.org/works?filter=author.id:A5127261980&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/vraj-shah/#papers) · [🔗 Cited 53 times in our library](https://md.research.elamur.ai/free/en/authors/vraj-shah/cited-by/) · [⭐ Paper Stars ranking: #7732](https://md.research.elamur.ai/free/en/paper-stars/page/78/#star-7732) 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=Vraj+Shah) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Vraj+Shah) · [dblp](https://dblp.org/search?q=Vraj+Shah) · [ACL Anthology](https://aclanthology.org/search/?q=Vraj+Shah) ## Affiliations [🏢**IBM** Armonk · United States 2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/companies/ibm/) 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 5 The field of science this work belongs to (OpenAlex fields).[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/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 1 Research subjects and languages the work is about.[Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/vraj-shah/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[MTRAG-UN: A Benchmark for Open Challenges in Multi-Turn RAG Conversations](https://md.research.elamur.ai/free/en/papers/rosenthal-2026-mtrag-un-benchmark-open-challenges/)** *(2026 · 27 citations)* MTRAG-UN is a new benchmark from IBM Research. It targets cases in multi-turn retrieval-augmented generation (RAG) where a single question-answer exchange is not enough for the user. It extends the earlier MTRAG benchmark with four stress cases: 2. **[SemEval-2026 Task 8: MTRAGEval: Evaluating Multi-Turn RAG Conversations](https://md.research.elamur.ai/free/en/papers/rosenthal-2026-semeval-2026-task-8-mtrageval/)** *(2026 · 26 citations)* This shared task evaluates retrieval-augmented generation in multi-turn dialogue. In that setting, follow-up questions often depend on earlier turns, cannot be answered from the corpus, or are ambiguous. The organizers split the pipeline into three subtasks: retrieval only (A), answer generation from gold passages… ## Co-authors here 3 co-authors with a page, the most papers together first. - [Marina Danilevsky](https://md.research.elamur.ai/free/en/authors/marina-danilevsky/) ×2 - [Sara Rosenthal](https://md.research.elamur.ai/free/en/authors/sara-rosenthal/) ×2 - [Yannis Katsis](https://md.research.elamur.ai/free/en/authors/yannis-katsis/) ×2 ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) - [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/): [SemEval 2026](https://md.research.elamur.ai/free/en/venues/semeval/2026/) ## Cited by Papers of our library cite their works 53 times (of the 149,439 papers whose bibliographies we read); [14 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/vraj-shah/cited-by/). Updated 31 October 2026