2 papers
cs.LG2026
Efficient RLVR Scheduling via Graph-Structured Online Difficulty Estimation
Zhizhao Liu, Zhiliang Tian, Xi Wang +4
Reinforcement learning with verifiable rewards (RLVR) improves the reasoning capabilities of large language models but relies on costly rollout exploration. Assigning the same expl…
cs.DC2025
Nightjar: Dynamic Adaptive Speculative Decoding for Large Language Models Serving
Rui Li, Zhaoning Zhang, Libo Zhang +3
Speculative decoding (SD) accelerates LLM inference by verifying draft tokens in parallel. However, this method presents a critical trade-off: it improves throughput in low-load, m…