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20242026
most citedGlobal MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation

6 citations · 10 across the 4 of their papers we have counts for

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cs.CL2026

Evaluating Communicative Success in Machine-Translated Conversation

Faiz Ghifari Haznitrama, Alice Oh

Interpreter agents built on machine translation (MT) increasingly mediate live conversation between people who do not share a language, yet we still evaluate them with metrics buil…

cs.CL2025

CulTrace: Tracing Internal Cultural Reasoning in Large Language Models

Haeun Yu, Arnav Arora, Seogyeong Jeong +7

The growing deployment of large language models (LLMs) across diverse cultural contexts necessitates a deeper understanding of models' hidden representations of different cultures.…

cs.CL2024★ 6 cited

Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation

Shivalika Singh, Angelika Romanou, Clémentine Fourrier +21

Cultural biases in multilingual datasets pose significant challenges for their effectiveness as global benchmarks. These biases stem not only from differences in language but also…

cs.CL2024★ 2 cited

Survey of Cultural Awareness in Language Models: Text and Beyond

Siddhesh Pawar, Junyeong Park, Jiho Jin +7

Large-scale deployment of large language models (LLMs) in various applications, such as chatbots and virtual assistants, requires LLMs to be culturally sensitive to the user to ens…

cs.CL2024★ 2 cited

WorldCuisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global Cuisines

Genta Indra Winata, Frederikus Hudi, Patrick Amadeus Irawan +48

Vision Language Models (VLMs) often struggle with culture-specific knowledge, particularly in languages other than English and in underrepresented cultural contexts. To evaluate th…