Author

Zhi-Cheng Li

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#artificial intelligence Preprint Sep 2026

SPLASH: Switching Parallel Layouts of Attention with Seamless Handoff for LLM Serving

No single way of parallelizing attention serves large language models well under all loads. Low concurrency favors tensor parallelism, many independent requests favor data-parallel attention, and long prompts favor context parallelism. Reasoning, agentic, and RL-rollout workloads make a fixed choice untenable: a batch...

Chuan Liu, Shuo-Ming Zhang, Zhi-Cheng Li et al. · 0 citations

#artificial intelligence Jul 2026

DART-VLN: Test-Time Memory Decay and Anti-Loop Regularization for Discrete Vision-Language Navigation

DART-VLN is presented, a training-free inference-time framework that combines Test-Time Memory Decay, which reweights stale and redundant memory slots without modifying their stored content, with Anti-Loop Regularization, a lightweight next-hop penalty that discourages immediate reversals.

Shaoheng Zhang, Zhi-Cheng Li, Guang-Fu Ma et al. · arXiv.org · 0 citations