Beyond Quantity: Trajectory Diversity Scaling for Code Agents

As code large language models (LLMs) evolve into tool-interactive agents via the Model Context Protocol (MCP), their generalization is increasingly limited by low-quality synthetic data and the diminishing returns of qua...

Leo Parker
· 1 min read
Beyond Quantity: Trajectory Diversity Scaling for Code Agents

Beyond Quantity: Trajectory Diversity Scaling for Code Agents

Original article: https://arxiv.org/abs/2602.03219v2

As code large language models (LLMs) evolve into tool-interactive agents via the Model Context Protocol (MCP), their generalization is increasingly limited by low-quality synthetic data and the diminishing returns of qua...

Beyond Quantity: Trajectory Diversity Scaling for Code Agents

This entry is part of the Top 50 AI Agent Articles curation.