2 papers
cs.AI2026
League of LLMs: A Benchmark-Free Paradigm for Mutual Evaluation of Large Language Models
Qianhong Guo, Wei Xie, Xiaofang Cai +7
Although large language models (LLMs) have shown exceptional capabilities across a wide range of tasks, reliable evaluation remains a critical challenge due to data contamination,…
cs.LG2026
Data-Free Layer-Adaptive Merging via Fisher Information for Long-to-Short Reasoning LLMs
Tian Xia
Model merging has emerged as a practical approach to combine capabilities of specialized large language models (LLMs) without additional training. In the Long-to-Short (L2S) scenar…