Cultural Alignment in Large Language Models Using Soft Prompt Tuning
cs.CL
Submitted: 2025-03-20
Updated: 2026-09-18
Code: https://github.com/lm-sys/FastChat
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- PersianLLaMA: Towards Building First Persian Large Language Model
- COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning
- AceGPT, Localizing Large Language Models in Arabic
- Theoretical guarantees on the best-of-n alignment policy
- Cendol: Open Instruction-tuned Generative Large Language Models for Indonesian Languages
- The Power of Scale for Parameter-Efficient Prompt Tuning
- Black-Box Prompt Optimization: Aligning Large Language Models without Model Training
- Cultural Alignment in Large Language Models: An Explanatory Analysis Based on Hofstede's Cultural Dimensions
- CulturalBench: A Robust, Diverse, and Challenging Cultural Benchmark by Human-AI CulturalTeaming
- Controlled Decoding from Language Models
- SeaLLMs -- Large Language Models for Southeast Asia
- A Survey on In-context Learning
- Towards Measuring the Representation of Subjective Global Opinions in Language Models
- Survey of Cultural Awareness in Language Models: Text and Beyond
- A Roadmap to Pluralistic Alignment
- Cultural Bias and Cultural Alignment of Large Language Models
- Loss Functions and Metrics in Deep Learning
- UCCIX: Irish-eXcellence Large Language Model
- HyperCLOVA X Technical Report
- Group Preference Optimization: Few-Shot Alignment of Large Language Models
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