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Zhengjun Yue

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#small language model Open access Aug 2026

GS-Chaff: Multi-Agent Prompt-Level Semantic Chaffing for Privacy-Preserving LLM Inference

Generative semantic chaffing (GS-Chaff), a training-free multi-agent framework for privacy-preserving LLM inference over natural-language text queries that hides the user’s true intent among semantically plausible chaff queries, is proposed.

Quan Zhou, Zhi-Cheng Wang, Zhengjun Yue et al. · 0 citations
#artificial intelligence Preprint Jul 2026

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD

This work demonstrates a full-stack pathway from efficient trillion-parameter model post-training on Ascend infra to domain-specialized Flash models for solver-grounded mathematical modeling, advancing frontier-model systems for complex reasoning.

Dongfang Li, Xiaodong Luo, Ruoyu Sun et al. · 0 citations