Author

Jiapeng Chen

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Preprint Sep 2026

Poseidon: DAG-Guided Parallelism Search for LLM Pre-Training on Heterogeneous Clusters

Poseidon is an efficient and scalable LLM training framework designed with heterogeneity awareness, which employs two efficient, theoretically grounded strategies: stage-level pruning via early stopping with partial estimation, and layer-to-stage mapping exploiting a ridge-like distribution pattern.

Xiao-Song Chen, Shao Nie, Zhong-Min Zhao et al. · 0 citations

Preprint Aug 2026

SLIM-0.5B: Learning Action-Grounded Predictive Latents for Robot Manipulation

SLIM (Self-supervised Latent Interaction Model), a compact 0.5B-parameter latent interaction policy, which matches or exceeds representative large-scale VLA and world-action-model baselines with fewer parameters, no additional embodied pretraining, lower inference latency, and substantially lower GPU memory usage.

Jing-Kai Wang, Zihan Tang, Gu Zhang et al. · 0 citations