Culturalriddles 2026 10 22
Captured source
source ↗CulturalRiddles Skip to content Rerank 5 is here: sharper search, fewer tokens. Now with Context Focus. Learn more
Products
Solutions
Resources
Blog
Research
Company
Sign in
Request a demo
Platform North
Enterprise-ready AI for business
Compass
Intelligent search and discovery
Models Command
Generative language models
Transcribe
Speech recognition model
North Small Translate
Machine translation model
Parse New
Document parsing model
Embed New
Semantic representation model
Rerank New
Retrieval optimization model
Models Overview
Product Products Overview
Total Cost of AI Ownership
Pricing
Featured North 2: Cohere's latest platform update — with 15+ new features
Deploy Model Vault
Dedicated model inference platform
Private Deployments
On-prem or isolated VPCs
Security
Protect your data at every stage
See deployment options
By Industry Financial Services
Public Sector
Technology
Telecommunications
Energy and Utilities
Healthcare
Life Sciences
Manufacturing
Featured Model Vault provides fully-isolated, performant inference with Saas simplicity
Insights Customer Stories
For Developers Developers
Models Overview
Docs
Discord
LLM University
Connect Partners
Events
Webinars
Merch Store
Featured How CoreWeave used Cohere North to transform its customer support in 90 days
Blog
The latest news, launches, and insights
Read more
Cohere to acquire AISLE to advance cyber-resilient sovereign AI
North 2: Enterprise AI without compromises
Introducing Embed 5—A new family of frontier embedding models
Research Cohere Labs
Cohere’s ML research lab
Explorations Future(s) of Work
How will AI change the way we work?
Aya Models
Multilingual AI at scale
All Papers
Initiatives Research Scholars
Finding the new generation of ML talent
Open Science Community
Championing global, open science
Catalyst Grants
Supporting impactful ML endeavors
Resources Blog
Hugging Face
Events
Featured The future of work debate has an evidence problem
About
Careers
Newsroom
Oct 22, 2026 CulturalRiddles A Multicultural Benchmark of Riddles
Read the paper Take the quiz
Authors
My Chiffon Nguyen, Tianyi Hu, Vinod Anbalagan, Henry Gagnier, Pouya Sadeghi, Farah Abdou, Tidor-Vlad Pricope, Diego MMS Oliveira, Jocelyn K D'Arcy, Madeline Smith, Oluwaseun A Ajayi, Yusser Al Ghussin, Zena Al-Khalili, Micol Altomare, Shayan Amir, Ahanaf Aziz, Bryan Chen, Ruchira Dhar, Abdellah El Mekki, Rawan Mohammed Elframawy, Akhil Eppa, Silvia Fernandez, Alex Gimei, Arya Hariharan, Christian Hoang, RamMohanRao Kadiyala, Diana Kozachek, Peerat Limkonchotiwat, Ankita Maity, Di Mo, Ayush Munot, Aylin Naebzadeh, Anastasiia Nikitina, Dina Pisarevskaya, Divas Poudel, Jebish Purbey, Md Rabius Sany Apu, Ahmad Mufli Ramadhan, Ralitza Nikolova Rizova, Diogo M. Serrano-Miranda, Vivek Gopalkrishna Silimkhan, Luis Fernando Solis Navarro, Kaiser Sun, Arya Suneesh, Manaswitha Sunkara, Tejaswi Sunkara, Jonathan E Swindell, Hanna Yukhymenko, Jingyi Zheng, Esther Adenuga, Ilia Afanasev, Wafa Aissa, Lisa Alazraki, Lauren C Altomare, Priscilla Amondi Amuok, Emile Anand, Gabriel Assis, José Matías Avalos, Silvia Lorena Avila, Zakaria Baannou, Niyati Bafna, Yash Bagla, Sarah Bahrami, Bontu F Balcha, Vanya Bannihatti Kumar, Irene Baucells, Abdumutalib Begmuratov, Naman Bhatia, Souvik Bhattacharyya, Isabel Blanco Ferreiro, Felipe Bochini, Sayuru Bopitiya, Angana Borah, Tulika Bose, Olena Bugaiova, Juliana Carvalho, Nancy F Chen, Stephy Chen, Rochelle Choenni, Jayanth Krishna Chundru, Leandro A Cossio, Nebojša Damnjanović, Ona de Gibert, Marco De Santis, Pedro Delgado, Kaustubh Dholé, Adnan El Assadi, Wesam El-Sayed, Nadine M Elframawy, Oumayma Essarhi, Naome A Etori, Reuben Chagas Fernandes, Saanidhi Pravin Gade, Javier García Gilabert, Álvaro González-Escapa, Bin Hu, Kaiyu Huang, Abderrahmane Issam, Danka Jokić, Roy Ka-Wei Lee, Haichang Li, Chen Cecilia Liu, Zhengyuan Liu, Cedric Lothritz, Houman Mehrafarin, Antonio Miranda-Escalada, Fengran Mo, Mehrnaz Mofakhami, Wafaa Mohammed, Felipe Moreno-Vera, Prahitha Movva, Jannatul Nayem, Van Ngo, Joy Olusanya, Marc Pàmies, Avinash Kuney Pandey, Yurii Paniv, Fred Philippy, Vladislav Poritski, Dikshya Poudel, Joanna Radoła, Sara Rajaee, Swati Rajwal, Prerana Rane, Muhammad Ravi Shulthan Habibi, Lucas Resck, Shubhashis Roy Dipta, Ananya Sahu, Eduardo Sánchez, Borja Sánchez Clemente, Aleix Sant, Nobin Sarwar, Istiak Shihab, Santhoshini Pranathi Singaraju, Jane Smith, David Stap, Emily Z Su, Ananth K Suresh, Sajag Swami, Ruiyang Tan, Nazia Tasnim, Khalid Tounoussi, Patteera Triamamornwooth, Muhammad Saad Umar, Shankar Venkitachalam, Oksana Volchek, Lingbo Wang, Debela Desalegn Yadeta, Rushikesh Zawar, Jinghan Zhang, Mike Zhang, Weihua Zheng, Marzieh Fadaee, Akhil Arora, Károly Boczka, Julia Kreutzer
Abstract
As LLMs expand their language coverage, evaluating how well they understand and represent diverse cultures becomes increasingly important. However, many benchmarks remain English-centric, with limited cultural coverage and a focus on factual knowledge over its application in real-world cultural contexts. We propose a benchmark of original, culturally grounded riddles created entirely by humans through a participatory community effort, spanning 62 cultures(45 countries, 51 languages). These riddles are deeply rooted in their respective cultures and require abductive and compositional reasoning, alongside detailed factual and social knowledge, language skills, and an understanding of culturally specific associations. We benchmark 28 LLM configurations using both automatic and large-scale human evaluation. Even frontier models achieve at most 22% accuracy in some communities. We publicly release all artifacts alongside an open contribution process to expand the benchmark's linguistic and cultural coverage.
multilingual Human Feedback Evaluation
Related works
Research Building Multilingual Bridges
Read
Research SEATauBench: Progressively Adapting Tool-Agent-User Evaluation Into Low-Resource Southeast Asian Languages
Read
Research Dynamically Allocating Evaluation Effort for Model Ranking
Read
RESEARCH BLOG
I Speak Every Language but Know No Culture. What Am I?
The art of riddles We can probably say that riddles are a universal art. In Tamil Nadu, India, children grow up with tales of King Vikramadithan and the Vetalam, a spirit that poses riddles as the king carries it on his back. In Europe, Greek mythology offers the...
Excerpt shown — open the source for the full document.
Notability
notability 6.0/10Cohere cultural benchmark dataset release; moderate industry relevance.