repoGitHubTrust 82 · PrimaryPublished 2mo agoLive · 9d ago
baidu-baige/LoongForge
A high-performance framework for training LLMs, VLMs, diffusion, and embodied models on NVIDIA GPUs and Kunlun XPUs.
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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- PossiblePossibly related (embedding) · 48%LeVo 2: Stable and Melodious Song Generation via Hierarchical Representation Modeling and Progressive Post-Training →
- PossiblePossibly related (embedding) · 48%Instead of decentralized training effort we should build the “One dataset” →
- PossiblePossibly related (embedding) · 46%LLawCo: Learning Laws of Cooperation for Modeling Embodied Multi-Agent Behavior →
- PossiblePossibly related (embedding) · 46%Valdi: Value Diffusion World Models →
- PossiblePossibly related (embedding) · 46%Identifying Interactions at Scale for LLMs →
- PossiblePossibly related (embedding) · 49%Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive Routing →
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Related across the graph
paperLocalized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive RoutingpaperLeVo 2: Stable and Melodious Song Generation via Hierarchical Representation Modeling and Progressive Post-TrainingpaperLLawCo: Learning Laws of Cooperation for Modeling Embodied Multi-Agent BehaviornewsInstead of decentralized training effort we should build the “One dataset”paperValdi: Value Diffusion World ModelsnewsIdentifying Interactions at Scale for LLMs