Task Ability Decomposition and Difficulty Quantification of Visual Tasks for AGI Evaluation

Mon, 27 Oct 2025 00:00:00 +0000

This work represents a significant advance in AGI evaluation methodology by providing the first comprehensive framework for understanding and quantifying visual task difficulty.

Key Contributions

Novel Theoretical Framework: First exploration of task-ability space structure and its relationship to task difficulty
TADDL-V Framework: Systematic approach for quantifying difficulty of visual tasks
AGI-V70 Benchmark: Curated dataset for testing diverse visual abilities
Practical Impact: Tools and methods that advance the field of AGI evaluation

Motivation

Using the visual domain as a starting point, this research addresses a critical gap in AGI evaluation by introducing a methodology to quantify the difficulty levels of composite tasks. This quantification is crucial for conducting a more comprehensive and fine-grained assessment of AGI systems.

To promote open science and collaborative advancement, the TADDL-V framework and the AGI-V70 benchmark are made freely available to the research community.

Task Decomposition | Shaoyang Cui

Task Ability Decomposition and Difficulty Quantification of Visual Tasks for AGI Evaluation

Key Contributions

Motivation

Visual teaser