6 papers
CoAgent: Concurrency Control for Multi-Agent Systems
Hongtao Lyu, Dingyan Zhang, Mingyu Wu +2
Multi-agent LLM systems -- coding agents, devops agents, document agents -- now routinely run several agents in parallel against the same git tree, Kubernetes cluster, or document.…
RecoWorld: Building Simulated Environments for Agentic Recommender Systems
Fei Liu, Xinyu Lin, Hanchao Yu +12
We present RecoWorld, a blueprint for building simulated environments tailored to agentic recommender systems. Such environments give agents a proper training space where they can…
EmbedAgent: Benchmarking Large Language Models in Embedded System Development
Ruiyang Xu, Jialun Cao, Mingyuan Wu +6
Large Language Models (LLMs) have shown promise in various tasks, yet few benchmarks assess their capabilities in embedded system development. In this paper, we introduce EmbedAgen…
FairBatching: Fairness-Aware Batch Formation for LLM Inference
Hongtao Lyu, Boyue Liu, Mingyu Wu +1
Large language model (LLM) inference systems face a fundamental tension between minimizing Time-to-First-Token (TTFT) latency for new requests and maintaining a high, steady token…
An AI-native experimental laboratory for autonomous biomolecular engineering
Mingyu Wu, Zhaoguo Wang, Jiabin Wang +9
Autonomous scientific research, capable of independently conducting complex experiments and serving non-specialists, represents a long-held aspiration. Achieving it requires a fund…
Eliza: A Web3 friendly AI Agent Operating System
Shaw Walters, Sam Gao, Shakker Nerd +11
AI Agent, powered by large language models (LLMs) as its cognitive core, is an intelligent agentic system capable of autonomously controlling and determining the execution paths un…