… View arXiv page View PDF Add to collection Community seeing how much the gains hinge on draft initialization and keeping drafts short, it looks like the method pays off most when the speculative drafts stay close to the current rollout distribution. my question is: how does speculative decoding beh… …
… However, existing Tree-RAG methods designed for single-document retrieval face critical challenges in scaling to cross-document multi-hop questions : 1 poor distribution adaptability, where k-means clustering introduces noise due to rigid distribution assumptions; 2 structural isolation, as tree in… …
… We distinguish CAD-available settings, where explicit object geometry can support rendering, calibration, pose estimation, segmentation, and test-time geometric verification; CAD-unavailable settings, where geometry is replaced by normal-reference appearance, feature distributions, teacher-student … …
… The central idea of dMoE is to aggregate token-level expert distributions within each block into a unified block-level expert distribution , which is then used to guide expert routing in a more coherent manner. …
… AI-generated summary Causal autoregressive video diffusion models support real-time streaming generation by extrapolating future chunks from previously generated content. …
… For more details about supported models, please visit: https://mint-doc.macaron.im/en/community/get-started/supported-models In addition, MinT also supports model families such as GLM-5.1, MiniMax, and OpenPI. …
… Our MatryoshkaLoRA supports dynamic rank selection with minimal degradation in accuracy. …
… To support this setting, we construct CLOC, a Cross-domain Large-scale Object Counting dataset that reorganizes diverse public data sources into a unified benchmark. …
… Overall, the results support that learned, auditable routing can improve coordination-heavy multi-agent workflows over static wiring. …
… Because the best voice agent for customer service isn't necessarily the best one for HR or IT support. …