From the 1 of 26 linked papers with an AI index.
26 papers
HW-Router: Hardware-Aware Routing for Scalable Multi-LLM Serving
Ahasan Kabir, Jiaqi Xue, Mengxin Zheng +1
Modern large language model (LLM) serving platforms deploy multiple models across different GPUs, requiring routers to direct incoming queries to appropriate LLMs. However, existin…
CutBackdoor: A Circuit Cut Triggered Backdoor Attack on Variational Quantum Algorithms
Ahatesham Bhuiyan, Hoang Ngo, Cheng Chu +4
Variational Quantum Algorithms (VQAs) are a leading paradigm for near-term quantum computing, combining parameterized quantum circuits with classical optimization across quantum ch…
Learning Latency-Aware Orchestration for Multi-Agent Systems
Xi Shi, Mengxin Zheng, Qian Lou
The paper introduces LAMaS, a latency‑aware orchestration framework for multi‑agent systems that learns execution graphs with critical‑path credit assignment during training and us…
REALM: A Unified Red-Teaming Benchmark for Physical-World VLMs
Yifei Zhao, Qian Lou, Mengxin Zheng
Vision-language models (VLMs) are increasingly used as perception-reasoning backbones for embodied intelligence in safety-critical physical systems, where perception or reasoning e…
AGENTSERVESIM: A Hardware-aware Simulator for Multi-Turn LLM Agent Serving
Rakibul Hasan Rajib, Mengxin Zheng, Qian Lou
Multi-turn LLM agents interleave model calls with external tool invocations, shifting serving from stateless request processing to stateful program execution. Serving these workloa…
INFRAMIND: Infrastructure-Aware Multi-Agent Orchestration
Ahasan Kabir, Jiaqi Xue, Mengxin Zheng +1
Existing multi-agent LLM orchestration methods, ranging from brute-force ensembles to learned routers, select models and topologies based on task and model features. However, these…