…Auto-claude-code-research-in-sleep/blob/main/skills/paper-illustration-image2/SKILL.md . But there are some important question for the science figure and this skills can be improved (a important…
…such as higher thinking budgets and multi-turn refinement, improves performance overall. Our findings highlight a critical need for high-quality procedural coding data to advance commercial VLMs. Furthermore, effective procedural 3D…
…uses projection residuals to modulate negative gradients, improving reasoning while preserving diversity and outperforming strong baselines on average across twelve benchmarks spanning Mathematics, Code, Agent Tasks, and Function Calling. Notably, ResRL surpasses…
…Experiments show that our approach improves semantic correspondence over the prior methods while reducing manual geometric supervision. Code and model can be found at https:/github.com/GenIntel/3D-SC. View arXiv…
…Dan Jacobellis , Abstract LiVeAction is a lightweight neural codec architecture that improves rate-distortion performance for resource-constrained devices by using an FFT-like structure and variance-based rate penalty instead of…
…iterative programming within constrained environments, revealing significant gaps in current models' self-improvement capabilities. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Current AI benchmarks evaluate agents on task execution within human…
…power law relationship and developing a threshold-guided optimization method for improved memory performance. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Large Language Models (LLMs) must continuously learn and update knowledge…
…Ganlin Zhang , , , Abstract BA-T is an iterative Transformer architecture that improves 3D reconstruction accuracy and cross-view consistency through structured updates inspired by bundle adjustment, using a lightweight design that requires…
…DNN-based codecs improve compression efficiency, but at a cost: they cannot easily adapt to large changes in available bitrate, and real-time encoding requires expensive, power-hungry GPUs that prohibit use…
…AI-generated summary Reinforcement learning with verifiable rewards (RLVR) has become a central paradigm for improving reasoning and code generation in large language models, and GRPO-style training is widely adopted for…
