2 papers
cs.AI2026
Coresets Before Score Sets: Evaluation-Unsupervised Prompt Subset Selection for LLM Benchmarks
Jihan Yao, Gantavya Bhatt, Arnav Das +16
We study LLM benchmark coreset selection: selecting a small subset of prompts over multiple benchmarks whose induced model scores and rankings approximate those obtained from the f…
cs.AI2026
Generic Expert Coverage for Pruning SparseMixture-of-Experts Language Models
Yongqin Zeng, Sicheng Pan, Jiale Wang +4
Sparsely activated Mixture-of-Experts (MoE) language models contain substantial structured redundancy among routed experts, but pruning them without downstream calibration data rem…