---
title: "Jan Strich · Universität Hamburg — author profile and papers"
description: "Jan Strich, Universität Hamburg: 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/jan-strich/"
---
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# Jan Strich

Jan Strich has 2 papers in our library, in 2026, most of them on [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Chris Biemann](https://md.research.elamur.ai/free/en/authors/chris-biemann/), [Martin Semmann](https://md.research.elamur.ai/free/en/authors/martin-semmann/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5125660974) · [**h-index 1**](https://openalex.org/authors/A5125660974) · [18 works](https://openalex.org/works?filter=author.id:A5125660974) · [1 citations](https://openalex.org/works?filter=author.id:A5125660974&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jan-strich/#papers) · [🔗 Cited 1 time in our library](https://md.research.elamur.ai/free/en/authors/jan-strich/cited-by/) · [⭐ Paper Stars ranking: #11548](https://md.research.elamur.ai/free/en/paper-stars/page/116/#star-11548)

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=Jan+Strich) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jan+Strich) · [dblp](https://dblp.org/search?q=Jan+Strich) · [ACL Anthology](https://aclanthology.org/search/?q=Jan+Strich)

## Affiliations

[🎓**Universität Hamburg** Hamburg · Germany 2024–2026 · 17 papers*current*](https://md.research.elamur.ai/free/en/universities/universitat-hamburg/) · [🎓**HAW Hamburg** Hamburg · Germany 2026 · 1 paper*current*](https://ror.org/00fkqwx76)

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 6 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/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 2 Research subjects and languages the work is about.[Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/jan-strich/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[T²-RAGBench: Text-and-Table Benchmark for Evaluating Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/strich-2026-t-2-ragbench-text-table/)** *(2026 · 1 citation)* RAG systems are usually tested on plain text or Wikipedia-style data. Existing text-and-table QA sets assume the relevant passage is already given (the Oracle Context setting). Their questions also often only make sense alongside that passage, so several answers could be valid across a corpus. T$^2$-RAGBench fixes…
2. **[EncouRAGe: Evaluating RAG Local, Reliable, and Efficient](https://md.research.elamur.ai/free/en/papers/strich-2026-encourage-evaluating-rag-local-reliable/)** *(2026)* Comparing RAG pipelines on domain-specific data is difficult because current tools such as RAGAS, RAGChecker and TruLens mostly provide metrics.

## Co-authors here

2 co-authors with a page, the most papers together first.

- [Chris Biemann](https://md.research.elamur.ai/free/en/authors/chris-biemann/) ×2
- [Martin Semmann](https://md.research.elamur.ai/free/en/authors/martin-semmann/) ×2

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/)
- [Workshop on Multilingual Report Generation via Retrieval Augmented Generation](https://md.research.elamur.ai/free/en/venues/rag4reports/): [Workshop on Multilingual Report Generation via Retrieval Augmented Generation 2026](https://md.research.elamur.ai/free/en/venues/rag4reports/2026/)

## Cited by

Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/jan-strich/cited-by/).

Updated 1 November 2026
