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cs.CL2025
OWL: Overcoming Window Length-Dependence in Speculative Decoding for Long-Context Inputs
Jaeseong Lee, seung-won hwang, Aurick Qiao +3
Speculative decoding promises faster inference for large language models (LLMs), yet existing methods fail to generalize to real-world settings. Benchmarks typically assume short c…
cs.CL2025
Gold-Switch: Training-Free Superposition of Slow- and Fast- Thinking LLMs
Jaeseong Lee, Dayoung Kwon, seung-won hwang
Large Reasoning Models (LRMs) excel in structured tasks by emulating deliberate human reasoning but often suffer from overthinking, degrading performance and wasting resources. One…