…AI-generated summary Transformer-based 3D reconstruction has emerged as a powerful paradigm for recovering geometry and appearance from multi-view observations, offering strong performance across challenging visual conditions. As these models…
…the encoding strategy and visual token compression. First, controlled experiments show that slice-based encoding outperforms global encoding across benchmarks, suggesting that preserving local details through sliced views can be more beneficial…
…AI-generated summary Recent advances in large language models have led to strong performance on reasoning and environment-interaction tasks, yet their ability for creative problem-solving remains underexplored. We study this…
…AI-generated summary We investigate the origins of massive activations in large language models (LLMs) and identify a specific layer named the Massive Emergence Layer (ME Layer), that is consistently observed across…
…AI-generated summary Real-time interactive video generation requires low-latency, streaming, and controllable rollout. Existing autoregressive (AR) diffusion distillation methods have achieved strong results in the chunk-wise 4-step regime…
…Users configured vaults through structured controls and natural-language strategies, but only agents could choose normal buy/sell trades. The system produced 7.5M agent invocations , roughly 300K onchain actions, about $20M…
…Motivated by these findings, ISA implements an efficient pre-selection strategy to prune redundant context, followed by a dynamic query grouping mechanism that routes high-error queries to full attention and low…
…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…
…AI-generated summary Long-context large language models (LLMs)-for example, Gemini-3.1-Pro and Qwen-3.5-are widely used to empower many real-world applications, such as retrieval-augmented…
…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…