ICLR 2026 썸네일형 리스트형 [ICLR 2026] When Reasoning Meets Compression: Understanding the Effects of LLMs Compression on Large Reasoning Models https://arxiv.org/abs/2504.02010, ICLR 2026 When Reasoning Meets Compression: Understanding the Effects of LLMs Compression on Large Reasoning ModelsCompression methods, including quantization, distillation, and pruning, improve the computational efficiency of large reasoning models (LRMs). However, existing studies either fail to sufficiently compare all three compression methods on LRMs or lac.. 더보기 이전 1 다음
