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A Scalable Recipe on SuperMUC-NG Phase 2: Efficient Large-Scale Training of Language Models
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HexiSeq: Accommodating Long Context Training of LLMs over Heterogeneous Hardware
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Deadline-Driven Hierarchical Agentic Resource Sharing for AI Services and RAN Functions in AI-RAN
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RcLLM: Accelerating Generative Recommendation via Beyond-Prefix KV Caching
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MERBIT: A GPU-Based SpMV Method for Iterative Workloads
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SparseRL-Sync: Lossless Weight Synchronization with ~100x Less Communication
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TREA: Low-precision Time-Multiplexed, Resource-Efficient Edge Accelerator for Object Detection and Classification
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Resource-Element Energy Difference for Noncoherent Over-the-Air Federated Learning
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FATE: Future-State-Aware Scheduling for Heterogeneous LLM Workflows
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On Similarity of Computational Kernels in our Codes and Proxies
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Regulating Branch Parallelism in LLM Serving
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123D: Unifying Multi-Modal Autonomous Driving Data at Scale
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EmambaIR: Efficient Visual State Space Model for Event-guided Image Reconstruction
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Proxy3D: Efficient 3D Representations for Vision-Language Models via Semantic Clustering and Alignment
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Flow-OPD: On-Policy Distillation for Flow Matching Models
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6D Pose Estimation via Keypoint Heatmap Regression with RGB-D Residual Neural Networks
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Towards Highly-Constrained Human Motion Generation with Retrieval-Guided Diffusion Noise Optimization
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MoCoTalk: Multi-Conditional Diffusion with Adaptive Router for Controllable Talking Head Generation
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SCOPE: Structured Decomposition and Conditional Skill Orchestration for Complex Image Generation
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Object Hallucination-Free Reinforcement Unlearning for Vision-Language Models
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