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cs.LG2026
Reservoir of Importance: Learning Semi-Structured Sparsity with Differentiable Subset Sampling
Ha Dinh, Xuan Duy Ta, Khoat Than +1
Semi-structured : sparsity has emerged as a practical direction for accelerating large language models (LLMs). However, existing learnable-mask approaches incur substantial p…
cs.LG2026
SPARK: Learning from Verification in Speculative GRPO Rollouts
Nhat Minh Pham, Duy Tung Doan, Thi Duyen Ngo +3
Group Relative Policy Optimization (GRPO) has become a standard approach for improving the reasoning abilities of large language models, but its training is costly because each ste…