PaceShift adds guarded curriculum training for dense prediction
The method keeps the deployed architecture unchanged and adds no inference computation; code is not yet public.
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Stories tagged #curriculum-learning
ActiveSaddler: Automated Curriculum Learning for Agent Harness Optimization
ActiveSaddler adapts agent-harness curricula, raising Pass@1 by 4.4 and 7.5 points on two benchmarks.
Climbing the Hill: Prompt Injection Red-Teaming Against Frontier Models with Curriculum Reinforcement Learning
Curriculum RL red-teams frontier LLMs for prompt injection, hitting 93.8% ASR against GPT-5.6-Luna on AgentDyn.
Spatial-Interactor: Learning Spatial Reasoning through Interaction with the Observable Physical World
Researchers introduce Spatial-Interactor, a three-level curriculum that trains vision-language models to track physical state transitions.
CMA-OT: Hierarchical Expert Supervision for Dance-to-Music Generation
CMA-OT aligns a music generator's latent features with hierarchical expert representations via curriculum learning and scale-aware optimal transport, improving dance-to-music quality.
CanvasAnneal: Curriculum Reinforcement Learning for Diffusion Language Models
CanvasAnneal injects teacher reasoning traces into diffusion canvases during curriculum RL, improving diffusion LLMs on MATH500, Countdown, and Tau2.
Curriculum Learning as Transport: Understanding Curricula with Wasserstein Geodesics
Researchers model curriculum learning as Wasserstein transport over difficulty distributions, finding curriculum benefits are strongly task- and budget-dependent with no dominant strategy.