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BASP: Communication-Efficient Batch-Aware Sequence Parallelism for LLM Training
Long-context reasoning for large language models (LLMs) is becoming increasingly important, but training over long sequences remains challenging due to massive memory and communication requirements. Sequence parallelism has emerged as an essential technique for addressing bottlenecks in long sequenc
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