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Marlene Lutz

@marlutz

Phd student @ University of Mannheim | Social NLP | she/her

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25.11.2024
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Latest posts by Marlene Lutz @marlutz

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Very honored to be one out of seven outstanding papers at this years' EMNLP :)

Huge thanks to my amazing collaborators @fatemehc.bsky.social @anamarasovic.bsky.social @boknilev.bsky.social , this would not have been possible without them!

07.11.2025 08:58 πŸ‘ 22 πŸ” 6 πŸ’¬ 2 πŸ“Œ 2

πŸ‘‹πŸΌ I'm at #EMNLP2025 presenting "The Prompt Makes the Person(a): A Systematic Evaluation of Sociodemographic Persona Prompting for LLMs"

πŸ•‘ Thu. Nov 6, 12:30 - 13:30
πŸ“ Findings Session 2, Hall C3

04.11.2025 16:39 πŸ‘ 5 πŸ” 2 πŸ’¬ 0 πŸ“Œ 0
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The Prompt Makes the Person(a): A Systematic Evaluation of Sociodemographic Persona Prompting for Large Language Models Persona prompting is increasingly used in large language models (LLMs) to simulate views of various sociodemographic groups. However, how a persona prompt is formulated can significantly affect outcom...

πŸ“„ Paper: arxiv.org/abs/2507.16076

Come chat with me about this at #EMNLP2025!

Huge thanks to my amazing collaborators
@indiiigo.bsky.social, @wanlo.bsky.social, @ Elisa Rogers, and @mstrohm.bsky.social!
7/7

31.10.2025 17:45 πŸ‘ 2 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0
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🌍 When simulating Hispanic personas, several LLMs spontaneously switched to Spanish β€” a pattern not seen for other groups.

This is the first systematic evidence of language-switching bias in persona prompting!
6/7

31.10.2025 17:45 πŸ‘ 0 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0

πŸ“‰ Bigger β‰  better.

Across all tasks and measures, larger models performed worse than smaller onesβ€”sometimes even showing lower opinion alignment than a random baseline.
5/7

31.10.2025 17:45 πŸ‘ 1 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0
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πŸ“ŠInterview-style prompting also significantly improves alignment with real-world survey data!
4/7

31.10.2025 17:45 πŸ‘ 1 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0
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πŸ’‘The good news: Interview-style prompting (Q&A format) and name-based priming (using culturally associated names instead of explicit labels) consistently:
βœ… Reduces stereotyping
βœ… Improves diversity of responses
3/7

31.10.2025 17:45 πŸ‘ 0 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0
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βš–οΈLLMs still fall short when simulating marginalized identities.

Simulations of nonbinary, Hispanic, and Middle Eastern personas are more stereotyped and less diverse than those of other groups.
2/7

31.10.2025 17:45 πŸ‘ 0 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0
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🚨New paper alert🚨

πŸ€” Ever wondered how the way you write a persona prompt affects how well an LLM simulates people?

In our #EMNLP2025 paper, we find that using interview-style persona prompts makes LLM social simulations less biased and more aligned with human opinions.
🧡1/7

31.10.2025 17:45 πŸ‘ 13 πŸ” 3 πŸ’¬ 1 πŸ“Œ 2

πŸ‘‹ #ACL2025NLP πŸ‡¦πŸ‡Ή @marlutz.bsky.social and I are presenting our poster on demographic representativeness of LLMs today!

πŸ•¦ 10:30-12:00
πŸ“ Hall X5 (board 1 or 14 according to different sources 🧐)

Here’s the paper on ACL anthology: aclanthology.org/2025.finding...

Drop by!

29.07.2025 07:31 πŸ‘ 22 πŸ” 7 πŸ’¬ 0 πŸ“Œ 1
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GitHub - Indiiigo/LLM_rep_review: Systematic Review of the Demographic Representativeness of LLMs Systematic Review of the Demographic Representativeness of LLMs - Indiiigo/LLM_rep_review

Joint work w/ @marlutz.bsky.social, Elisa Rogers, @dgarcia.eu and @mstrohm.bsky.social

You can find our code and annotated dataset of papers here: github.com/Indiiigo/LLM...

We annotated way more things, e.g., LLM used, response format, so please check it out!

5/5

21.07.2025 10:11 πŸ‘ 2 πŸ” 2 πŸ’¬ 0 πŸ“Œ 0