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Curiosity-Critic: Cumulative Prediction Error Improvement as a Tractable Intrinsic Reward for World Model Training
Arxiv
0+阅读 · 6月16日
Data-aware Static Analysis: Improving Detection of Semantic Faults in Machine Learning Code Using Data Characteristics
Arxiv
0+阅读 · 6月8日
AugMask: Training Diffusion Models on Incomplete Tabular Data via Stochastic Augmentation and Masking
Arxiv
0+阅读 · 6月2日
GRACE: A Dynamic Coreset Selection Framework for Large Language Model Optimization
Arxiv
0+阅读 · 4月9日
Kareus: Joint Reduction of Dynamic and Static Energy in Large Model Training
Arxiv
0+阅读 · 6月11日
Combating Data Laundering in LLM Training
Arxiv
0+阅读 · 5月28日
Learning is Forgetting: LLM Training As Lossy Compression
Arxiv
0+阅读 · 4月8日
ChipLight: Cross-Layer Optimization of Chiplet Design with Optical Interconnects for LLM Training
Arxiv
0+阅读 · 4月20日
HARP: Orchestrating Automated Parallel Training on Heterogeneous GPU Clusters
Arxiv
0+阅读 · 5月4日
FlashOverlap: Minimizing Tail Latency in Communication Overlap for Distributed LLM Training
Arxiv
0+阅读 · 4月27日
OT on the Map: Quantifying Domain Shifts in Geographic Space
Arxiv
0+阅读 · 4月17日
WISCA: A Lightweight Model Transition Method to Improve LLM Training via Weight Scaling
Arxiv
0+阅读 · 4月22日
AutoSP: Unlocking Long-Context LLM Training Via Compiler-Based Sequence Parallelism
Arxiv
0+阅读 · 4月29日
MatchRDMA: A Segmented and Rate-Matched Long-Haul RDMA Scheme for Geo-distributed LLM Training over OTN
Arxiv
0+阅读 · 4月27日
FedPLT: Scalable, Resource-Efficient, and Heterogeneity-Aware Federated Learning via Partial Layer Training
FedPLT: Scalable, Resource-Efficient, and Heterogeneity-Aware Federated Learning via Partial Layer Training
Arxiv
0+阅读 · 5月4日
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