mlsanityData to 14 Oct 2026

Performance in a dialectal profiling task of LLMs for varieties of Brazilian Portuguese

arXiv 2410.10991 ↗First posted 14 Oct 2024cs.CL cs.CYcited by 3

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Abstract (arXiv)

Different of biases are reproduced in LLM-generated responses, including dialectal biases. A study based on prompt engineering was carried out to uncover how LLMs discriminate varieties of Brazilian Portuguese, specifically if sociolinguistic rules are taken into account in four LLMs: GPT 3.5, GPT-4o, Gemini, and Sabi.-2. The results offer sociolinguistic contributions for an equity fluent NLP technology.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 6 of its 26 references that are in the map. First posted on arXiv 14 Oct 2024.

Builds on

6 of 26 references.

References · 6

  1. 2024Linguistic Bias in ChatGPT: Language Models Reinforce Dialect Discriminationcited by 56
  2. 2023DADA: Dialect Adaptation via Dynamic Aggregation of Linguistic Rulescited by 13
  3. 2024The Sociolinguistic Foundations of Language Modelingcited by 13
  4. 2024Sabi'a-2: A New Generation of Portuguese Large Language Modelscited by 10
  5. 2021What Truly Matters? Using Linguistic Cues for Analyzing the #BlackLivesMatter Movement and its Counter Protests: 2013 to 2020cited by 4
  6. 2022Towards a Deep Multi-layered Dialectal Language Analysis: A Case Study of African-American Englishcited by 3

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 1; 2025: 0; 2026: 2.

3 papers.

  1. 2026P3B3: A Multi-Turn Conversational Benchmark for Measuring European and Brazilian Portuguese Variety Bias in LLMscited by 1
  2. 2024Diversidade lingu'istica e inclus~ao digital: desafios para uma ia brasileiracited by 0
  3. 2026Can I guess where you are from? Modeling dialectal morphosyntactic similarities in Brazilian Portuguesecited by 0