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Franziska Weeber

Franziska Weeber has 2 papers in our library, in 2026, most of them on Language models & pretraining, Multilingual & cross-lingual NLP; often with Sebastian Padó, Tanise Ceron, Vera Neplenbroek.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 2 · 26 works · 20 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 4 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #10701

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓University of StuttgartStuttgart · Germany2026 · 16 papersEmployment · PhD Student, Institute for Natural Language Processingcurrent🎓University of KonstanzKonstanz · Germany2021–2024 · 5 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksSafety Research · 2 worksSocial Sciences · 2 works

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksMultilingual & cross-lingual NLP · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Do Political Opinions Transfer Between Western Languages? An Analysis of Unaligned and Aligned Multilingual LLMs (2026 · 4 citations)
    This paper asks whether multilingual LLMs hold a single, shared set of political views across languages or separate views per language, as human survey data across European countries might suggest.
  2. \textitOne Persona, \textitMany Cues, \textitDifferent Results: How Sociodemographic Cues Impact LLM Personalization (2026)
    Studies of bias in LLM personalization usually tell the model who the user is through a single signal, or "persona cue," such as a name or a direct statement of the user's identity.

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Do Political Opinions Transfer Between Western Languages? An Analysis of Unaligned and Aligned Multilingual LLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Franziska Weeber, Tanise Ceron, Sebastian Padó2026 · 4 citations
  2. PRSM: A Measure to Evaluate CLIP's Robustness Against Paraphrases ↗arXiv:2511.11141 · no summary yetUdo Schlegel et al.2025 · 1 citation
  3. \textitOne Persona, \textitMany Cues, \textitDifferent Results: How Sociodemographic Cues Impact LLM PersonalizationAnnual Meeting of the Association for Computational Linguistics (ACL)Franziska Weeber, Vera Neplenbroek, Jan Batzner, et al.2026
  4. Beyond Marginal Distributions: A Framework to Evaluate the Representativeness of Demographic-Aligned LLMs ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetTristan Williams et al.2026

 Co-authors here

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

Venues

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

 Cited by

Papers of our library cite their works 4 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/franziska-weeber/