activity
20242026
most citedBLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages

5 citations · 5 across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Imperfect Verifiers, Exact Targets: Inference-Time Scaling for Continuous Generation

Kijung Jeon, Molei Tao

Verifier-guided inference-time scaling uses additional computation to score intermediate states and steer generation toward better outputs. However, imperfect intermediate verifier…

cs.CL2026

LoCar: Localization-Aware Evaluation of In-Vehicle Assistants through Fine-Grained Sociolinguistic Control

Seogyeong Jeong, Kiwoong Park, Seyoung Song +4

While Large Language Models (LLMs) are increasingly integrated into in-vehicle conversational systems, identifying the optimal model remains challenging due to the lack of domain-s…

cs.CL2025

Open Korean Historical Corpus: A Millennia-Scale Diachronic Collection of Public Domain Texts

Seyoung Song, Nawon Kim, Songeun Chae +5

The history of the Korean language is characterized by a discrepancy between its spoken and written forms and a pivotal shift from Chinese characters to the Hangul alphabet. Howeve…

cs.CL2025

Are they lovers or friends? Evaluating LLMs' Social Reasoning in English and Korean Dialogues

Eunsu Kim, Junyeong Park, Juhyun Oh +5

As LLMs are increasingly deployed in real-world interactions, their social reasoning in interpersonal communication becomes critical. To explore their capabilities, we introduce SC…

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…