Aligned but Flattened: Analyzing the Trade-off between Cultural Alignment and Diversity in LLMs
cs.SI, cs.CL
Submitted: 2026-09-01
Updated: 2026-09-01
Project page: https://aligned-but-flattened.github.io
Terminology
Sources
- Investigating Cultural Alignment of Large Language Models
- Qwen Technical Report
- A Closer Look at Multimodal Representation Collapse
- Self-Alignment: Improving Alignment of Cultural Values in LLMs via In-Context Learning
- DeepSeek-V3 Technical Report
- CulFiT: A Fine-grained Cultural-aware LLM Training Paradigm via Multilingual Critique Data Synthesis
- SGD and Weight Decay Secretly Minimize the Rank of Your Neural Network
- Transformer Feed-Forward Layers Are Key-Value Memories
- SimBench: Benchmarking the Ability of Large Language Models to Simulate Human Behaviors
- The Low-Rank Simplicity Bias in Deep Networks
- Mistral 7B
- Multiple LLM Agents Debate for Equitable Cultural Alignment
- GPT-4 Technical Report
- Gemma 2: Improving Open Language Models at a Practical Size
- Whose Opinions Do Language Models Reflect?
- Large Language Models Do Not Simulate Human Psychology
- Cultural Palette: Pluralising Culture Alignment via Multi-agent Palette
- Neural Collapse versus Low-rank Bias: Is Deep Neural Collapse Really Optimal?
- Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models
- Gemini: A Family of Highly Capable Multimodal Models
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