…Giridhar Ganapavarapu , Dhaval Patel Abstract MCP-Cosmos integrates generative World Models into the Model Context Protocol ecosystem to enhance agent planning and execution through predictive simulation in latent space. AI-generated summary…
…Furthermore, we mathematically demonstrate a weight-folding property that achieves constant-time inference complexity (O(1)), regardless of the number of integrated experts. Experimental results across multi-domain adaptation and class-incremental…
…approximates full activation states while maintaining computational efficiency and improving performance in long-context tasks. AI-generated summary A growing body of work in cognitive science suggests that reportable conscious access is…
…Compositional Human-Environment Video Synthesis via Spatial-Decoupled Motion Injection and Hybrid Context Integration (2026) VISTA: Triplet-Supervised Video Style Transfer with Diffusion Transformers (2026) ReImagine: Rethinking Controllable High-Quality Human Video…
…This methodology enhances the feed-forward paradigm by integrating novel geometric constraints with a perspective-view training strategy , explicitly countering the primary sources of geometric error. This geometry-centric strategy yields a…
…Stabilizing Rubric Integration Training via Decoupled Advantage Normalization (2026) FIPO: Eliciting Deep Reasoning with Future-KL Influenced Policy Optimization (2026) Demystifying OPD: Length Inflation and Stabilization Strategies for Large Language Models (2026…
…open-source corpora with diverse performances and note-level alignments for music information retrieval applications. AI-generated summary Symbolic music datasets with matched scores and performances are essential for many music information…
…We further implement an efficient custom CUDA kernel for BEAM, ensuring seamless integration with the vLLM inference framework . Experiments show that BEAM retains over 98\% of the original model's performance while…
…We introduce RigidFormer, an object-centric Transformer-based model that learns mesh-free rigid-body dynamics with controllable integration step sizes. RigidFormer reasons at the object level and advances each object through…
…AI-generated summary Large Language Model (LLM)-based agents have fundamentally reshaped artificial intelligence by integrating external tools and planning capabilities. While memory mechanisms have emerged as the architectural cornerstone of these…