7 citations · 13 across the 11 of their papers we have counts for
7 papers · 1 filter
HyScale: Scaling Long-Context Training for Learned Sparse Attention
Yangsheng Deng, Yangshen Deng, Xinjing Huang +11
We present HyScale, a long-context training system for learned sparse attention. Learned sparse attention is a promising architecture for million-token contexts, widely adopted in…
PIA-Bench: Towards Automated Privacy Impact Assessment with Large Language Models
Jiamin Zheng, Hao-Ping Lee, Luo Mai +1
Privacy impact assessment (PIA) is a critical instrument for institutions to proactively identify privacy risks and develop mitigation strategies before system deployment. While ma…
SwarmX: Agentic Scheduling for Low-Latency Agentic Systems
Yeqi Huang, Yanwei Ye, Guomin Chen +8
Agentic AI applications compose multiple model calls and tool executions, creating new scheduling challenges for GPU-CPU clusters. Their inference time and model-call structure oft…
BatchGen: An Architecture for Scalable and Efficient Batch Inference
Tairan Xu, Leyang Xue, Zhan Lu +7
Batch inference has become a central mode of AI computation, yet existing inference engines still rely on execution models designed for interactive serving. When scaled to millions…
Ryze: Evidence-Enriched Data Synthesis from Biomedical Papers
Yeqi Huang, Yue Chen, Yanwei Ye +2
General-purpose VLMs remain unreliable for biomedical research because valid answers in scientific papers depend on evidence split across figures, tables, charts, captions, and ref…
Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams
Yinsicheng Jiang, Liang Cheng, Yeqi Huang +6
LLM agents are increasingly deployed as multi-role teams, where tasks are divided across specialized roles such as planner, executor, and verifier. In these systems, cost and accur…
Do Agents Know What They Can't Do? Evaluating Feasibility Awareness in Tool-Using Agents
Liang Cheng, Mingsheng Cai, Jiuming Jiang +1
Tool-using agents often incur substantial computational cost due to long reasoning chains and iterative tool usage. In practical scenarios, many tasks become infeasible under const…