2 papers
cs.LG2026
Hierarchical Variational Policies for Reward-Guided Diffusion
Kushagra Pandey, Farrin Marouf Sofian, Jan Niklas Groeneveld +2
Adapting pretrained diffusion models to downstream objectives such as inverse problems often requires expensive test-time guidance or optimization. We propose a principled framewor…
cs.AI2025
Smaller Models, Smarter Rewards: A Two-Sided Approach to Process and Outcome Rewards
Jan Niklas Groeneveld, Xi Qin, Alexander Schaefer +1
Generating high-quality code remains a challenge for Large Language Models (LLMs). For the evolution of reasoning models on this task, reward models are a necessary intermediate st…