Jul 17, 2026
Man, Machine, and Masterpiece: Artistic Ownership in the AI Era
Man, Machine, and Masterpiece: Artistic Ownership in the AI Era explores the growing tension between traditional concepts of artistic authorship and the real...
Explore Franklin AI
AI Research Papers
Understand new AI research with readable explanations and links to the original papers.
Jul 16, 2026
AIMO Interpretability Challenge
The AIMO Interpretability Challenge is a research competition designed to determine whether frontier mathematical language models rely on stable, generalizab...
Jul 16, 2026
Experience Memory Graph: One-Shot Error Correction for Agents
Experience Memory Graph: One-Shot Error Correction for Agents Large Language Model (LLM) agents are increasingly used for complex, long-horizon tasks, but th...
Jul 16, 2026
AgentCompass: A Unified Evaluation Infrastructure for Agent Capabilities
AgentCompass is an open-source infrastructure designed to solve the fragmentation and lack of reproducibility in how we evaluate AI agents.
Jul 16, 2026
When Bots Join the Team: Bot Adoption and the Institutional Fabric of Open-Source Software Projects
When Bots Join the Team: Bot Adoption and the Institutional Fabric of Open-Source Software Projects This research investigates how the integration of AI agen...
Jul 16, 2026
CAVA: Canonical Action Verification and Attestation for Runtime Governance of Agentic AI Systems
CAVA: Canonical Action Verification and Attestation for Runtime Governance of Agentic AI Systems addresses the challenge of governing AI agents that operate...
Jul 16, 2026
AI-accelerated End-to-End Framework for Rapid Professional Upskilling
AI-accelerated End-to-End Framework for Rapid Professional Upskilling As the pace of technological change accelerates, the time required for organizations to...
Jul 16, 2026
Do Agent Optimizers Compound? A Continual-Learning Evaluation on Terminal-Bench 2.0
Most research on AI agent optimization focuses on "one-shot" improvements, where an agent is tuned once against a fixed set of tasks.
Jul 16, 2026
A Self-Evolving Agent for Longitudinal Personal Health Management
A Self-Evolving Agent for Longitudinal Personal Health Management Most current health AI systems treat every user interaction as a fresh start, failing to re...
Jul 16, 2026
Deep Interaction: An Efficient Human-AI Interaction Method for Large Reasoning Models
Deep Interaction: An Efficient Human-AI Interaction Method for Large Reasoning Models Large language models (LLMs) have become powerful tools for solving com...
Good to know
How do I use these AI research explainers?
Start with the overview to understand the paper’s main idea, then follow its original paper link for the methods, results and limitations.
Can I suggest a research paper?
Use Submit Research to send the original paper URL and explain why it is useful. An editor reviews the suggestion before publication.