5 citations · 9 across the 18 of their papers we have counts for
7 papers · 1 filter
Culture is Everywhere: A Call for Intentionally Cultural Evaluation
Juhyun Oh, Inha Cha, Michael Saxon +3
The prevailing ``trivia-centered paradigm'' for evaluating the cultural alignment of large language models (LLMs) is increasingly inadequate as these models become more advanced an…
RoleConflictBench: A Benchmark of Role Conflict Scenarios for Evaluating LLMs' Contextual Sensitivity
Jisu Shin, Hoyun Song, Juhyun Oh +4
People often encounter role conflicts -- social dilemmas where the expectations of multiple roles clash and cannot be simultaneously fulfilled. As large language models (LLMs) incr…
Spotting Out-of-Character Behavior: Atomic-Level Evaluation of Persona Fidelity in Open-Ended Generation
Jisu Shin, Juhyun Oh, Eunsu Kim +2
Ensuring persona fidelity in large language models (LLMs) is essential for maintaining coherent and engaging human-AI interactions. However, LLMs often exhibit Out-of-Character (OO…
Flex-TravelPlanner: A Benchmark for Flexible Planning with Language Agents
Juhyun Oh, Eunsu Kim, Alice Oh
Real-world planning problems require constant adaptation to changing requirements and balancing of competing constraints. However, current benchmarks for evaluating LLMs' planning…
Benchmarks Are Not Atomic: Composition-Aware LLM Evaluation using BenchHub
Eunsu Kim, Haneul Yoo, Guijin Son +3
LLM benchmarks are often treated as coherent measurement units, yet they are heterogeneous collections of instances spanning diverse domains, skills, formats, and contexts. As a re…
BLUCK: A Benchmark Dataset for Bengali Linguistic Understanding and Cultural Knowledge
Daeen Kabir, Minhajur Rahman Chowdhury Mahim, Sheikh Shafayat +4
In this work, we introduce BLUCK, a new dataset designed to measure the performance of Large Language Models (LLMs) in Bengali linguistic understanding and cultural knowledge. Our…
Diffusion Models Through a Global Lens: Are They Culturally Inclusive?
Zahra Bayramli, Ayhan Suleymanzade, Na Min An +5
Text-to-image diffusion models have recently enabled the creation of visually compelling, detailed images from textual prompts. However, their ability to accurately represent vario…