Cover Image

How Well Do LLMs Identify Cultural Unity in Diversity?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Jialin, Wang, Junli, Hu, Junjie, Jiang, Ming
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

How Well Do LLMs Handle Cantonese? Benchmarking Cantonese Capabilities of Large Language Models
by: Jiang, Jiyue, et al.
Published: (2024)

How Well Do LLMs Represent Values Across Cultures? Empirical Analysis of LLM Responses Based on Hofstede Cultural Dimensions
by: Kharchenko, Julia, et al.
Published: (2024)

How Well Do LLMs Understand Tunisian Arabic?
by: Mahdi, Mohamed
Published: (2025)

How Well Do LLMs Imitate Human Writing Style?
by: Jemama, Rebira, et al.
Published: (2025)

Benchmarking Machine Translation with Cultural Awareness
by: Yao, Binwei, et al.
Published: (2023)

How Well Do LLMs Understand Drug Mechanisms? A Knowledge + Reasoning Evaluation Dataset
by: Mohan, Sunil, et al.
Published: (2025)

ToxiLab: How Well Do Open-Source LLMs Generate Synthetic Toxicity Data?
by: Hui, Zheng, et al.
Published: (2024)

Do LLMs Understand Wine Descriptors Across Cultures? A Benchmark for Cultural Adaptations of Wine Reviews
by: Zou, Chenye, et al.
Published: (2025)

V-SEAM: Visual Semantic Editing and Attention Modulating for Causal Interpretability of Vision-Language Models
by: Wang, Qidong, et al.
Published: (2025)

From Heads to Neurons: Causal Attribution and Steering in Multi-Task Vision-Language Models
by: Wang, Qidong, et al.
Published: (2026)

Large Language Models Are Active Critics in NLG Evaluation
by: Xu, Shuying, et al.
Published: (2024)

How Well Do Multi-modal LLMs Interpret CT Scans? An Auto-Evaluation Framework for Analyses
by: Zhu, Qingqing, et al.
Published: (2024)

How Well Can Reasoning Models Identify and Recover from Unhelpful Thoughts?
by: Yang, Sohee, et al.
Published: (2025)

How Well Do Large Language Models Disambiguate Swedish Words?
by: Johansson, Richard
Published: (2024)

How Much Do LLMs Know About Chinese Zero Pronouns?
by: Li, Yifei, et al.
Published: (2026)

How Well Do Large Language Models Truly Ground?
by: Lee, Hyunji, et al.
Published: (2023)

How Useful is Continued Pre-Training for Generative Unsupervised Domain Adaptation?
by: Uppaal, Rheeya, et al.
Published: (2024)

How Do LLMs Use Their Depth?
by: Gupta, Akshat, et al.
Published: (2025)

LLMs Can Also Do Well! Breaking Barriers in Semantic Role Labeling via Large Language Models
by: Li, Xinxin, et al.
Published: (2025)

How Well Can LLMs Echo Us? Evaluating AI Chatbots' Role-Play Ability with ECHO
by: Ng, Man Tik, et al.
Published: (2024)

How Well Do Agentic Skills Work in the Wild: Benchmarking LLM Skill Usage in Realistic Settings
by: Liu, Yujian, et al.
Published: (2026)

Are Multilingual LLMs Culturally-Diverse Reasoners? An Investigation into Multicultural Proverbs and Sayings
by: Liu, Chen Cecilia, et al.
Published: (2023)

Tears or Cheers? Benchmarking LLMs via Culturally Elicited Distinct Affective Responses
by: Dai, Chongyuan, et al.
Published: (2026)

A Novel Method to Metigate Demographic and Expert Bias in ICD Coding with Causal Inference
by: Zhang, Bin, et al.
Published: (2024)

A Novel ICD Coding Method Based on Associated and Hierarchical Code Description Distillation
by: Zhang, Bin, et al.
Published: (2024)

BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages
by: Myung, Junho, et al.
Published: (2024)

NileChat: Towards Linguistically Diverse and Culturally Aware LLMs for Local Communities
by: Mekki, Abdellah El, et al.
Published: (2025)

Claim Check-Worthiness Detection: How Well do LLMs Grasp Annotation Guidelines?
by: Majer, Laura, et al.
Published: (2024)

"I know myself better, but not really greatly": How Well Can LLMs Detect and Explain LLM-Generated Texts?
by: Ji, Jiazhou, et al.
Published: (2025)

Are Today's LLMs Ready to Explain Well-Being Concepts?
by: Jiang, Bohan, et al.
Published: (2025)

Fake Alignment: Are LLMs Really Aligned Well?
by: Wang, Yixu, et al.
Published: (2023)

Counterfactual Cultural Cues Reduce Medical QA Accuracy in LLMs: Identifier vs Context Effects
by: Rezaei, Amirhossein Haji Mohammad, et al.
Published: (2026)

A Lightweight Multi Aspect Controlled Text Generation Solution For Large Language Models
by: Zhang, Chenyang, et al.
Published: (2024)

Do We Really Need GNNs with Explicit Structural Modeling? MLPs Suffice for Language Model Representations
by: Zhou, Li, et al.
Published: (2025)

Can LLMs Grasp Implicit Cultural Values? Benchmarking LLMs' Cultural Intelligence with CQ-Bench
by: Liu, Ziyi, et al.
Published: (2025)

Reading between the Lines: Can LLMs Identify Cross-Cultural Communication Gaps?
by: Saha, Sougata, et al.
Published: (2025)

Palm: A Culturally Inclusive and Linguistically Diverse Dataset for Arabic LLMs
by: Alwajih, Fakhraddin, et al.
Published: (2025)

Lost in the Pipeline: How Well Do Large Language Models Handle Data Preparation?
by: Spreafico, Matteo, et al.
Published: (2025)

Processing Natural Language on Embedded Devices: How Well Do Transformer Models Perform?
by: Sarkar, Souvika, et al.
Published: (2023)

How Do AI Agents Do Human Work? Comparing AI and Human Workflows Across Diverse Occupations
by: Wang, Zora Zhiruo, et al.
Published: (2025)