…Parallel Reasoning via Bradley--Terry Aggregation (2026) ReaComp: Compiling LLM Reasoning into Symbolic Solvers for Efficient Program Synthesis (2026) Marco DeepResearch: Unlocking Efficient Deep Research Agents via Verification-Centric Design (2026) Verifier…
…To accelerate open research and deployment in Physical AI , we make our code, model checkpoints, curated synthetic datasets, and evaluation benchmark available under the Linux Foundation's OpenMDW-1.1 https://openmdw…
…XiuYu Zhang , , Abstract Research challenges the conventional wisdom in latent visual reasoning by demonstrating that cosine alignment between supervised latents and visual targets negatively correlates with model accuracy, while revealing that answers…
…I made a podcast on it with ResearchPod, it makes it easy to get the key concepts on the go: https://researchpod.app/episode/71b87cc4-78b7-45f6-86d7-1bd99af6e6ae Get this paper…
…It provided a unified alignment approach for both reasoning and non-reasoning modes It worked well with your synthetic preference data generation pipeline You're treating reasoning as a specialized mode of…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Generalist robot policies must follow user instructions while reasoning about how objects, cameras, and robot actions interact in the 3D physical world . Recent vision…
…Taxonomy, Techniques, and Applications (2026) Code as Agent Harness (2026) The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes (2026) MUSE-Autoskill: Self-Evolving Agents…
…https://researchpod.app/episode/2db6c476-83a7-4d0e-9228-9293aa149b04 Generated automatically by ResearchPod — happy to take feedback from the authors. · That’s super cool! I was aware of a similar feature in…
…We are releasing model checkpoints in BF16, FP8, and FP4 formats, along with portions of the training data and codebase to facilitate further research and development. View arXiv page View PDF Add…
…I made a podcast on it with ResearchPod, it makes it easy to get the key concepts on the go: https://researchpod.app/episode/bc8b4b71-4946-4027-aca9-54baf889e33c Get this paper…