2 papers
cs.CL2026
Meta-Learning Where to Allocate Experts: Task-Conditioned Layer-Wise Compression for MoEs
Rongfeng Wang, Shichao Weng, Zhiqiang Wang +4
Mixture-of-Experts (MoE) models route each token to a subset of expert networks, increasing capacity while keeping per-token computation sparse. In many deployed MoEs, the number o…
cs.CV2026
Look Less, Think Faster: Joint Token-Compute Adaptation for Multimodal LLMs
Pengcheng Wang, Zhiquan Wang, Jayoung Lee +5
Multimodal Large Language Models (MLLMs) have recently demonstrated strong performance across vision-language tasks. However, their high inference cost, arising from both the large…