Cover Image

What are Foundation Models Cooking in the Post-Soviet World?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lavrouk, Anton, Naous, Tarek, Ritter, Alan, Xu, Wei
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Stanceosaurus 2.0: Classifying Stance Towards Russian and Spanish Misinformation
by: Lavrouk, Anton, et al.
Published: (2024)

ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessment
by: Naous, Tarek, et al.
Published: (2023)

Having Beer after Prayer? Measuring Cultural Bias in Large Language Models
by: Naous, Tarek, et al.
Published: (2023)

On The Origin of Cultural Biases in Language Models: From Pre-training Data to Linguistic Phenomena
by: Naous, Tarek, et al.
Published: (2025)

Reducing Privacy Risks in Online Self-Disclosures with Language Models
by: Dou, Yao, et al.
Published: (2023)

CARE: Multilingual Human Preference Learning for Cultural Awareness
by: Guo, Geyang, et al.
Published: (2025)

Flipping the Dialogue: Training and Evaluating User Language Models
by: Naous, Tarek, et al.
Published: (2025)

NEO-BENCH: Evaluating Robustness of Large Language Models with Neologisms
by: Zheng, Jonathan, et al.
Published: (2024)

How to Protect Yourself from 5G Radiation? Investigating LLM Responses to Implicit Misinformation
by: Guo, Ruohao, et al.
Published: (2025)

Investigating and Alleviating Harm Amplification in LLM Interactions
by: Guo, Ruohao, et al.
Published: (2026)

Meta-Tuning LLMs to Leverage Lexical Knowledge for Generalizable Language Style Understanding
by: Guo, Ruohao, et al.
Published: (2023)

Tabular Data Understanding with LLMs: A Survey of Recent Advances and Challenges
by: Wu, Xiaofeng, et al.
Published: (2025)

Measuring, Modeling, and Helping People Account for Privacy Risks in Online Self-Disclosures with AI
by: Krsek, Isadora, et al.
Published: (2024)

Probabilistic Reasoning with LLMs for k-anonymity Estimation
by: Zheng, Jonathan, et al.
Published: (2025)

Frustratingly Easy Label Projection for Cross-lingual Transfer
by: Chen, Yang, et al.
Published: (2022)

Language Models can Self-Improve at State-Value Estimation for Better Search
by: Mendes, Ethan, et al.
Published: (2025)

Learning to Route Languages for Multilingual Policy Optimization
by: Guo, Geyang, et al.
Published: (2026)

Granular Privacy Control for Geolocation with Vision Language Models
by: Mendes, Ethan, et al.
Published: (2024)

Constrained Decoding for Cross-lingual Label Projection
by: Le, Duong Minh, et al.
Published: (2024)

Translation and Fusion Improves Zero-shot Cross-lingual Information Extraction
by: Chen, Yang, et al.
Published: (2023)

Safe and Scalable Web Agent Learning via Recreated Websites
by: Chae, Hyungjoo, et al.
Published: (2026)

To Lie or Not to Lie? Investigating The Biased Spread of Global Lies by LLMs
by: Khan, Zohaib, et al.
Published: (2026)

Camellia: Benchmarking Cultural Biases in LLMs for Asian Languages
by: Naous, Tarek, et al.
Published: (2025)

Speech Translation with Speech Foundation Models and Large Language Models: What is There and What is Missing?
by: Gaido, Marco, et al.
Published: (2024)

On Recipe Memorization and Creativity in Large Language Models: Is Your Model a Creative Cook, a Bad Cook, or Merely a Plagiator?
by: Kvapil, Jan, et al.
Published: (2025)

Anticipatory Evaluation of Language Models
by: Park, Jungsoo, et al.
Published: (2025)

What Matters When Building Universal Multilingual Named Entity Recognition Models?
by: Golde, Jonas, et al.
Published: (2026)

SimulatorArena: Are User Simulators Reliable Proxies for Multi-Turn Evaluation of AI Assistants?
by: Dou, Yao, et al.
Published: (2025)

Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data
by: Changalidis, Anton, et al.
Published: (2025)

How to Connect Speech Foundation Models and Large Language Models? What Matters and What Does Not
by: Verdini, Francesco, et al.
Published: (2024)

What do Speech Foundation Models Learn? Analysis and Applications
by: Pasad, Ankita
Published: (2025)

PizzaCommonSense: Learning to Model Commonsense Reasoning about Intermediate Steps in Cooking Recipes
by: Diallo, Aissatou, et al.
Published: (2024)

TabSTAR: A Tabular Foundation Model for Tabular Data with Text Fields
by: Arazi, Alan, et al.
Published: (2025)

Foundation Models to Unlock Real-World Evidence from Nationwide Medical Claims
by: Ma, Fan, et al.
Published: (2026)

Schema-Driven Information Extraction from Heterogeneous Tables
by: Bai, Fan, et al.
Published: (2023)

What Do Speech Foundation Models Not Learn About Speech?
by: Waheed, Abdul, et al.
Published: (2024)

Can LLMs Help Uncover Insights about LLMs? A Large-Scale, Evolving Literature Analysis of Frontier LLMs
by: Park, Jungsoo, et al.
Published: (2025)

An Improved Traditional Chinese Evaluation Suite for Foundation Model
by: Tam, Zhi-Rui, et al.
Published: (2024)

What Shapes a Creative Machine Mind? Comprehensively Benchmarking Creativity in Foundation Models
by: He, Zicong, et al.
Published: (2025)

Bridging the Gap Between Multimodal Foundation Models and World Models
by: He, Xuehai
Published: (2025)