Author

Changdi Yang

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#artificial intelligence Preprint Sep 2026

IronLLM: Forging Compact Edge-Native Language Models for Real-Time Embodied Intelligence

We present IronLLM-0.6B, a 654M-parameter language model designed for efficient on-device inference. IronLLM-0.6B combines a hybrid attention architecture with X-MTP, a lightweight shared-KV multi-token prediction design that eliminates per-depth KV-cache replay and employs a lightweight verification head for rollback-...

Chang-Di Yang, Feng-Quan Jiao, Hao-Chih Lin et al. · 0 citations

#machine learning Preprint Sep 2026

Who Speaks for the Pruned? Visual Token Pruning as Coverage Optimization

CoverPruner is proposed, a training-free pruner that asks the complementary demand-side question: after a token is removed, which surviving original token represents it for the target VLM?

Qin Zhu, Wei-Hang You, Han-Qi Jiang et al. · 2 citations

Preprint Aug 2026

Fine-Tuning Qwen3-27B for C-to-Rust Code Translation: A Three-Stage Curriculum of Pretraining, Debugging-Aware SFT, and Task-Specific SFT

A three-stage fine-tuning curriculum applied to Qwen3-27B is described that is designed to progressively specialize the model for the C-to-Rust (C2Rust) translation task, and the resulting model is evaluated using the agentic, static-analysis-guided verification framework of SACTOR.

Pu Zhao, Changdi Yang, Yixiao Chen et al. · 0 citations