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Author

Zhefeng Wang

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Preprint Jul 2026

Unlocking Parallelism in Autoregressive Language Models via Speculative Decoding with Progressive Tree Drafting

Progressive Tree Drafting (PTD) is proposed, which employs a structured, guided parallel drafting strategy to harness the model's parallel potential by coupling a progressive tree structure with a stepwise pruning mechanism and actively guides the LLM to explore multiple semantic paths in a single forward pass.

Zipeng Gao, Zhi Zheng, Qingrong Xia et al. · 0 citations

Representation-Aware Modularity: Efficient Cross-Task Generalization for LLMs

RaMod, a Representation-Aware Modularity framework, is proposed, a Representation-Aware Modularity framework to extend the ReFT paradigm to CTG through two novel components: Dual-Modular Representation & Parameter Fine-tuning, which manipulates only a strategically chosen subset of hidden representations with modular interventions to guide the model toward solving unseen tasks.

Zheng Gong, Ying Sun, Chao Wang et al. · 0 citations