3 papers
cs.SD2026
Real-Time Language Model Jamming: A Case Study for Live Music Accompaniment Generation
Bowen Zheng, Andrew H. Yang, Jiaqi Ruan +5
Language models (LMs) have become one of the most prominent paradigms in modern generative modeling. While making them faster has been the main focus of real-time deployment, speed…
cs.LG2025
LiteCache: A Query Similarity-Driven, GPU-Centric KVCache Subsystem for Efficient LLM Inference
Jiawei Yi, Ping Gong, Youhui Bai +10
During LLM inference, KVCache memory usage grows linearly with sequence length and batch size and often exceeds GPU capacity. Recent proposals offload KV states to host memory and…
cs.DC2024
Hiding Communication Cost in Distributed LLM Training via Micro-batch Co-execution
Haiquan Wang, Chaoyi Ruan, Jia He +4
The growth of Large Language Models (LLMs) has necessitated large-scale distributed training. Highly optimized frameworks, however, still suffer significant losses in Model FLOPS u…