…can we achieve Transformer-level sequence global modeling entirely through dynamic parameterization while maintaining linear complexity , effectively replacing explicit attention? To explore this, we design various dynamic parameter prediction strategies and integrate…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Academic researchers need efficient and reliable methods for collecting high-quality information from trusted sources, but modern tools for AI-assisted research still suffer…
…Leveraging this capability, we propose Online Self-CAlibRation (OSCAR), a framework that integrates Monte Carlo Tree Search with a Dual-Granularity Reward Mechanism to construct preference data and iteratively refines the model…
…for multi-turn agent training by integrating self-distillation through a sigmoid gate that selectively strengthens positive token-level guidance while mitigating negative teacher rejections. AI-generated summary Reinforcement learning (RL) has…
…FrameX-AI Authors: , Shaojin Wu , , , , , Abstract Stream-T1 enables efficient test-time video generation through streaming synthesis with temporal guidance, achieving improved consistency and quality over existing diffusion-based methods. AI-generated…
…AI-generated summary Deep search has become a crucial capability for frontier multimodal agents, enabling models to solve complex questions through active search, evidence verification, and multi-step reasoning. Despite rapid progress…
…Specifically, we tackle two key challenges that enable the effective integration of generation and reconstruction. First, for 3D consistent generation , we elaborate a training-free, stage-wise denoising strategy that adaptively guides…
…Quanhao Li , , , , , , , , , Abstract DiffusionOPD enables efficient multi-task training for diffusion models through online policy distillation, outperforming existing reinforcement learning approaches in both training efficiency and final performance. AI-generated summary Reinforcement…
…Beyond standard generation, our approach inherently extends to multimodal image editing , integrating visual content as part of the instruction to facilitate highly expressive and creative visual manipulations. View arXiv page View PDF…
…AI-generated summary Domain Generalization (DG) aims to learn representations that remain robust under out-of-distribution (OOD) shifts and generalize effectively to unseen target domains. While recent invariant learning strategies and…