Value-Spectrum

Website GitHub

10 Shwatz values

πŸŒ„ Welcome to Value-Spectrum

Recent advances in Vision-Language Models (VLMs) have expanded their multimodal capabilities, yet evaluations often focus on functional tasks, overlooking deeper dimensions such as personality traits and human values.
Value-Spectrum introduces a fresh perspective by offering a novel Visual Question Answering (VQA) benchmark designed to assess VLMs based on Schwartz’s core human values.

Built from a diverse database of over 50,000 short videos across TikTok, YouTube Shorts, and Instagram Reels, Value-Spectrum challenges VLMs to engage with value-centered content spanning topics like family, health, society, technology, and more.
Through both general preference tests and persona-based simulations, Value-Spectrum reveals how VLMs express, prioritize, and adapt their value interpretations.

❀️ Preference Evaluation

Value-spectrum is a novel Visual Question Answering benchmark to assess VLMs based on Schwartz's value:

  • 🀝 Benevolence β€” caring for and helping others
  • 🌍 Universalism β€” understanding, appreciation, and protection of all people and nature
  • 🧭 Self-Direction β€” independent thought and action
  • πŸ† Achievement β€” personal success through demonstrating competence
  • 🎒 Stimulation β€” excitement, novelty, and challenge in life
  • 🍰 Hedonism β€” pleasure and sensuous gratification
  • πŸ›‘οΈ Security β€” safety, harmony, and stability of society and relationships
  • πŸ“ Conformity β€” restraint of actions that might upset others or violate social norms
  • 🧧 Tradition β€” respect, commitment, and acceptance of cultural or religious customs
  • πŸ‘‘ Power β€” social status, prestige, and control over people and resources

🎭 Evaluating Persona Alignment

Beyond measuring value preferences, Value-Spectrum also explores how VLMs can adopt specific personas when explicitly prompted.

By simulating role-playing scenarios β€” such as a family-oriented individual, an adventurous spirit, or a tradition-respecting persona β€” we assess how flexibly and consistently VLMs can align their responses with distinct value sets.

This persona alignment evaluation offers deeper insights into: - 🧩 How well VLMs can simulate human-like shifts in preferences based on assigned roles

πŸš€ Why Value-Spectrum?

Value-Spectrum offers a unique, comprehensive way to track VLMs' preferences,
understand their behavior in value-driven contexts, and test their ability to simulate diverse personas.

Whether you are benchmarking AI systems or exploring how machines can align with human values,
Value-Spectrum opens new pathways for understanding and improving VLM behavior.


This project is under active development.