Researchers Introduce Schedule Deviation to Test Conditional Diffusion Model Assumptions
Related Stories
5 linkedScaling Inference-Time Search with Vision Value Model for Improved...Despite significant advancements in vision-language models (VLMs), there lacks effective approaches to enhance response quality by scaling inference-time computation. This capability is known to...4h agoarXiv.org
Imagine, Verify, Execute: Memory-guided Agentic Exploration with...Exploration is essential for general-purpose robotic learning, especially in open-ended environments where dense rewards, explicit goals, or task-specific supervision are scarce. Vision-language...4h agoarXiv.org
DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware...Large Language Models (LLMs) are increasingly aligned with human preferences through Reinforcement Learning from Human Feedback (RLHF). Among RLHF methods, Group Relative Policy Optimization...4h agoarXiv.org
View all
- Uncertainty-Aware Answer Selection for Improved Reasoning in...arXiv.org · Large Language Models (LLMs) have demonstrated exceptional capabilities, yet selecting the most reliable response from multiple LLMs remains a challenge, particularly in resource-constrained...
- Is Your Conditional Diffusion Model Actually Denoising?arXiv.org · We study the inductive biases of diffusion models with a conditioning-variable, which have seen widespread application as both text-conditioned generative image models and observation-conditioned...