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20222026
most citedHyperCLOVA X Technical Report

7 citations · 26 across the 25 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CL2024

Shared Heritage, Distinct Writing: Rethinking Resource Selection for East Asian Historical Documents

Seyoung Song, Haneul Yoo, Jiho Jin +2

Historical documents in the Sinosphere are known to share common formats and practices, particularly in veritable records compiled by court historians. This shared linguistic herit…

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

Perceptions to Beliefs: Exploring Precursory Inferences for Theory of Mind in Large Language Models

Chani Jung, Dongkwan Kim, Jiho Jin +5

While humans naturally develop theory of mind (ToM), the capability to understand other people's mental states and beliefs, state-of-the-art large language models (LLMs) underperfo…

cs.CL2024★ 5 cited

BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages

Junho Myung, Nayeon Lee, Yi Zhou +19

Large language models (LLMs) often lack culture-specific knowledge of daily life, especially across diverse regions and non-English languages. Existing benchmarks for evaluating LL…

cs.CL2024★ 7 cited

HyperCLOVA X Technical Report

Kang Min Yoo, Jaegeun Han, Sookyo In +393

We introduce HyperCLOVA X, a family of large language models (LLMs) tailored to the Korean language and culture, along with competitive capabilities in English, math, and coding. H…