Author

Khac-Hoai Nam Bui

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#machine learning Preprint Aug 2026

SpecRoll: Fast-Slow Verifier-Feedback Adaptation for Speculative Reinforcement Learning Rollouts

This work introduces SpecRoll, a speculative rollout engine that preserves the target model's sampling distribution while adapting at two timescales, and combines concurrency-aware sparse-tree verification and exact target verification, leaving the target rollout distribution and GRPO objective unchanged.

Nhật Minh Phạm, Duy-Tung Doan, Thi Duyen Ngo et al. · 1 citation · ⚡1

Preprint Aug 2026

Reservoir of Importance: Learning Semi-Structured Sparsity with Differentiable Subset Sampling

Semi-structured $N$:$M$ sparsity has emerged as a practical direction for accelerating large language models (LLMs). However, existing learnable-mask approaches incur substantial parameter and memory overhead, limiting their scalability to large models and aggressive sparsity regimes. In this work, we revisit semi-stru...

H. Dinh, Xuan Duy Ta, K. Thân et al. · 0 citations