…Empirically, the flagship Darwin-27B-Opus achieves 86.9% on GPQA Diamond, ranking #6 among 1,252 evaluated models, and outperforming its fully trained foundation model without any gradient-based training. Across…
…AI-generated summary Reinforcement learning fine-tuning has become the dominant approach for aligning diffusion models with human preferences. However, assessing images is intrinsically a multi-dimensional task , and multiple evaluation criteria…
…Tingyang Chen , , , , , , , , , , , , , Abstract HarnessX enables adaptive and evolvable AI agent runtime interfaces through compositional primitives, trace-driven evolution, and feedback loops that improve both harness design and model training. Generated by Qwen…
…training and evaluating next-generation autonomous driving policies. We additionally show preliminary results indicating that a world-action model (WAM) post-trained from OmniDreams achieves strong performance on the Physical AI Autonomous…
…attention models face challenges with information decay and convergence, which are addressed through a momentum-based approach that improves training efficiency and performance over existing models like Mamba2 and GDN. AI-generated…
…After training, MindZero internalizes model-based reasoning into fast single-pass inference. We evaluate MindZero against baselines across challenging mental reasoning and AI assistance tasks in gridworld and household domains . We found…
…adaptation training and serving by keeping base models resident and moving lightweight adapter revisions, scaling across multiple dimensions including large model architectures, reduced storage requirements, and distributed policy management. AI-generated summary…
…are being updated during training. GradSentry requires no clustering, operates effectively across all poison ratios (1%--90%), and introduces minimal computational overhead (20-50ms per sample for 7B model). Evaluation on four…
…AI-generated summary On-policy distillation offers dense, per-token supervision for training reasoning models; however, it remains unclear under which conditions this signal is beneficial and under which it is detrimental…
…information seeking via search and browser tools achieve superior performance across diverse domains while maintaining data efficiency and robustness. AI-generated summary Most existing large language models (LLMs) are expensive to adapt…