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Across diverse tasks and roles, model scales, and MoE architectures, DEP achieves better overall accuracy than static pruning and merging baselines, and generalizes to workflows unseen in training without retraining.
Confidence-Gated Transductive Test Generation (CoTT), which first uses an efficient inductive procedure and invokes transductive generation only when inductive confidence is low, improves output reliability while allocating extra computation only when needed.
This work presents HAT-MPI, an ML-based framework that identifies the UCX Eager-Rendezvous protocol threshold and the optimal collective algorithm on InfiniBand HPC clusters and introduces two complementary techniques that improve the conventional data collection and evaluation workflow, namely LLM-assisted HPC hardwar...
Preliminary results from a geo-distributed LLM training prototype that treats networking constraints as first-order design concerns are presented, motivating adaptive networking support for synchronization, compression, placement, telemetry, and recovery in geo-distributed LLM training.
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