Scaling Generalization: Autonomous Intelligent Agents for the ARC-AGI Challenge

About the Project

You will have complete freedom to define your research direction within the broader AI landscape: from core methods to applications, and from theory to systems.

Aims and objectives

• Investigating Reasoning: Developing novel methods for infusing reasoning capabilities and structural priors into LLMs, LVMs, and multimodal systems.
• Developing Agents: Designing intelligent agents capable of solving ultra-ambitious reasoning tasks, specifically targeting the ARC-AGI 2.0 and 3.0 challenges.
• Augmenting Performance: Exploring human problem-solving databases and collecting human performance data to augment and refine LLM reasoning trajectories.
• Advancing Safety: Establishing robust frameworks for AI safety, evaluating ideological encoding within frontier models, and addressing critical societal questions.
• Fostering Independence: Providing a supportive environment where the student can build a visionary, independent research agenda from the ground up.

Methodology

Foundational approaches are expected to include: Benchmark Evaluation, Architectural Innovation, Agentic Workflows, Safety Testing.

Expected outcomes and impact

High-impact publications at top-tier international conferences and journals such as NeurIPS and Nature Scientific Reports. The student will emerge as an independent researcher.