2 papers
cs.LG2025
Beyond Benchmarks: Understanding Mixture-of-Experts Models through Internal Mechanisms
Jiahao Ying, Mingbao Lin, Qianru Sun +1
Mixture-of-Experts (MoE) architectures have emerged as a promising direction, offering efficiency and scalability by activating only a subset of parameters during inference. Howeve…
cs.CL2025
Toward Generalizable Evaluation in the LLM Era: A Survey Beyond Benchmarks
Yixin Cao, Shibo Hong, Xinze Li +24
Large Language Models (LLMs) are advancing at an amazing speed and have become indispensable across academia, industry, and daily applications. To keep pace with the status quo, th…