LINs Lab @ Westlake University
Learning and INference Systems (LINs) Laboratory
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- MASArena Public
A comprehensive framework for benchmarking single and multi-agent systems across a wide range of tasks—evaluating performance, accuracy, and efficiency with built-in visualization and tool integration.
LINs-lab/MASArena’s past year of commit activity - client2vec Public
[ICCV 2025] Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing
LINs-lab/client2vec’s past year of commit activity - DynMoE Public
[ICLR 2025] Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models
LINs-lab/DynMoE’s past year of commit activity - LINs-lab.github.io Public
LINs-lab/LINs-lab.github.io’s past year of commit activity - cluster_tutorial Public
LINs-lab/cluster_tutorial’s past year of commit activity - DeFT Public
[ICLR 2025] DeFT: Decoding with Flash Tree-attention for Efficient Tree-structured LLM Inference
LINs-lab/DeFT’s past year of commit activity - course_machine_learning Public
LINs-lab/course_machine_learning’s past year of commit activity - awesome_papers Public
LINs-lab/awesome_papers’s past year of commit activity
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