Codebase for Orthogonal Diverse Diffusion. We present a lightweight, training free method for improving sampling diversity and Pass@k in Diffusion Language Models.
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Updated
Apr 23, 2026 - Python
Codebase for Orthogonal Diverse Diffusion. We present a lightweight, training free method for improving sampling diversity and Pass@k in Diffusion Language Models.
Evaluate AI agents with Unix-style pipeline commands. Schema-driven adapters for any CLI agent, trajectory capture, pass@k metrics, and multi-run comparison.
Local-first reproducible LLM benchmark suite: 87 tasks, 16 scoring modes, multi-backend discovery, result diffs, and arena ELO artifacts.
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