• Computer Science > Distributed, Parallel, and Cluster Computing [Submitted on 25 Feb 2026] Title:DHP: Efficient Scaling of MLLM Training with Dynamic Hybrid Parallelism View PDF
• Chart summarization remains key for data accessibility but current methods lack deep insight extraction. • Existing MLLMs focus on low-level descriptions, missing the core analyt
• TPRU dataset addresses temporal and procedural gaps in multimodal LLMs, enabling richer embodied AI. • Comprised of robotic manipulation and GUI navigation scenes with 3 tasks: T