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Efficient large-scale language model training on gpu clusters using megatron-lm

3 Pith papers cite this work. Polarity classification is still indexing.

3 Pith papers citing it

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dataset 1 method 1

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years

2026 2 2025 1

representative citing papers

Seed1.5-VL Technical Report

cs.CV · 2025-05-11 · unverdicted · novelty 4.0

Seed1.5-VL is a compact multimodal model that sets new records on dozens of vision-language benchmarks and outperforms prior systems on agent-style tasks.

citing papers explorer

Showing 3 of 3 citing papers.

  • PINNACLE: An Open-Source Computational Framework for Classical and Quantum PINNs cs.LG · 2026-04-17 · accept · none · ref 50

    PINNACLE is an open-source framework for classical and quantum PINNs that supplies modular training methods and benchmarks showing high sensitivity to architecture choices plus parameter-efficiency gains in some hybrid quantum regimes.

  • JoyAI-LLM Flash: Advancing Mid-Scale LLMs with Token Efficiency cs.CL · 2026-04-03 · unverdicted · none · ref 21

    JoyAI-LLM Flash delivers a 48B MoE LLM with 2.7B active parameters per token via FiberPO RL and dense multi-token prediction, released with checkpoints on Hugging Face.

  • Seed1.5-VL Technical Report cs.CV · 2025-05-11 · unverdicted · none · ref 95

    Seed1.5-VL is a compact multimodal model that sets new records on dozens of vision-language benchmarks and outperforms prior systems on agent-style tasks.