most citedEnhancing Learned Knowledge in LoRA Adapters Through Efficient Contrastive Decoding on Ascend NPUs

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cs.DC2026

MARLaaS: Multi-Tenant Asynchronous Reinforcement Learning as a Service

Timothy Tin Long Yu, Gursimran Singh, Ge Shi +3

Reinforcement Learning from Verifiable Rewards (RLVR) has significantly improved the reasoning capabilities of large language models (LLMs), particularly in multi-turn agentic sett…

cs.DC2025

ExpertWeave: Efficiently Serving Expert-Specialized Fine-Tuned Adapters at Scale

Ge Shi, Hanieh Sadri, Qian Wang +4

Expert-Specialized Fine-Tuning (ESFT) adapts Mixture-of-Experts (MoE) large language models to enhance their task-specific performance by selectively tuning the top-activated exper…