“Empirical experiments demonstrate that CTHA is effective for complex task execution at scale, offering 47% reduction in failure cascades, 2.3x improvement in sample efficiency, and superior scalability compared to unconstrained hierarchical baselines.”

“Compared with the kinetic Langevin sampling algorithm, the proposed algorithm exhibits a higher contraction rate in the asymptotic time regime.”

“Experiments on a real-world image classification dataset demonstrate that EGT achieves up to 98.97% overall accuracy (matching baseline performance) with a 1.97x inference speedup through early exits, while improving attention consistency by up to 18.5% compared to baseline models.”

“Every act of language generation compresses a rich internal state into a single token sequence.”

“RAIR presents sufficient challenges even for GPT-5, which achieved the best performance.”

“Experiments show reduced width tracking error, mitigated corner defects, and lower surface roughness, achieving surface quality at 3600 mm/min comparable to conventional printing at 1600 mm/min, effectively doubling production speed while maintaining print quality.”

“Experiments demonstrate that Youtu-Agent achieves state-of-the-art performance on WebWalkerQA (71.47%) and GAIA (72.8%) using open-weight models.”

“The original study's claim of a 55% increase in click-through rate was found to be implausibly large, with high-powered replications showing negligible effects.”

“HOLOGRAPH provides rigorous mathematical foundations while achieving competitive performance on causal discovery tasks.”

“The WiYH Dataset features over 1,000 hours of multi-modal manipulation data across hundreds of skills in diverse real-world scenarios.”

“GARDO's key insight is that regularization need not be applied universally; instead, it is highly effective to selectively penalize a subset of samples that exhibit high uncertainty.”

“The paper claims an enhanced convergence rate of order $\mathcal{O}(h)$ in the $L^2$-Wasserstein distance, significantly improving the existing order-half convergence.”

“Act2Goal achieves strong zero-shot generalization to novel objects, spatial layouts, and environments. Real-robot experiments demonstrate that Act2Goal improves success rates from 30% to 90% on challenging out-of-distribution tasks within minutes of autonomous interaction.”

“C2PO leverages causal counterfactual signals to isolate bias-inducing features from valid reasoning paths, and employs a fairness-sensitive preference update mechanism to dynamically evaluate logit-level contributions and suppress shortcut features.”

“EntroDrop selectively masks low-entropy tokens during training and employs a curriculum schedule to adjust regularization strength in alignment with training progress.”

“InSPO derives a globally optimal policy conditioning on both context and alternative responses, proving superior to DPO/RLHF while guaranteeing invariance to scalarization and reference choices.”

“even if the system is doing the right thing, the way it communicates about threats can become the threat itself.”

“Experiments demonstrate that with minimal annotations, our paradigm enables downstream models to achieve performance comparable to, or even surpassing, their fully supervised counterparts.”

“GraphLocator achieves more accurate localization with average improvements of +19.49% in function-level recall and +11.89% in precision.”

“BLISS adapts to evolving node importance, leading to more informed node selection and improved performance.”

“The SmartSnap paradigm allows training LLM-driven agents in a scalable manner, bringing performance gains up to 26.08% and 16.66% respectively to 8B and 30B models.”

“Experiments on Swedish and MRMS datasets show consistent improvements over state-of-the-art methods, achieving over 60 % and 19% gains in heavy-rainfall CSI at an 80-minute lead time.”

“MMCTOP achieves consistent improvements in precision, F1, and AUC over unimodal and multimodal baselines on benchmark datasets, and ablations show that schema-guided textualization and selective expert routing contribute materially to performance and stability.”

“Hyperion enhances frame processing rate by up to 1.61 times and improves the accuracy by up to 20.2% when compared with state-of-the-art baselines.”

“Our experiments show that training with CHAMMI-75 can improve performance in multi-channel bioimaging tasks primarily because of its high diversity in microscopy modalities.”