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cs.CL2025
Camellia: Benchmarking Cultural Biases in LLMs for Asian Languages
Tarek Naous, Anagha Savit, Carlos Rafael Catalan +17
As Large Language Models (LLMs) develop stronger multilingual capabilities, their sensitivity to culturally diverse entities becomes increasingly important. Prior work by Naous et…
cs.HC2025★ 1 cited
Beyond Turn-taking: Introducing Text-based Overlap into Human-LLM Interactions
JiWoo Kim, Minsuk Chang, JinYeong Bak
Traditional text-based human-AI interactions often adhere to a strict turn-taking approach. In this research, we propose a novel approach that incorporates overlapping messages, mi…