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cs.LG2026
MoE Routing Testbed: Studying Expert Specialization and Routing Behavior at Small Scale
Tobias Falke, Nicolas Anastassacos, Samson Tan +6
Sparse Mixture-of-Experts (MoE) architectures are increasingly popular for frontier large language models (LLM) but they introduce training challenges due to routing complexity. Fu…
cs.LG2026★ 18 cited
Humanity's Last Exam
Long Phan, Alice Gatti, Ziwen Han +1144
Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…