works on

From the 1 of 7 linked papers with an AI index.

collaborators

7 papers

cs.MA2026

AgentRadio: Passive Awareness for Long-Horizon Multi-Agent Collaboration

Xinxing Ren, Qianbo Zang, Ziyan Wang +4

The paper introduces AgentRadio, an asynchronous message‑passing layer that enables multiple LLM coding agents to stay passively aware of each other's findings during long‑horizon…

cs.AI2026

Beyond Rule-Based Workflows: An Information-Flow-Orchestrated Multi-Agents Paradigm via Agent-to-Agent Communication from CORAL

Xinxing Ren, Quagmire Zang, Caelum Forder +5

Most existing Large Language Model (LLM)-based Multi-Agent Systems (MAS) rely on predefined workflows, where human engineers enumerate task states in advance and specify routing ru…

cs.CY2026

Permission Manifests for Web Agents

Samuele Marro, Alan Chan, Xinxing Ren +12

The rise of Large Language Model (LLM)-based web agents represents a significant shift in automated interactions with the web. Unlike traditional crawlers that follow simple conven…

cs.MA2025

Anemoi: A Semi-Centralized Multi-agent System Based on Agent-to-Agent Communication MCP server from Coral Protocol

Xinxing Ren, Caelum Forder, Qianbo Zang +6

Recent advances in generalist multi-agent systems (MAS) have largely followed a context-engineering plus centralized paradigm, where a planner agent coordinates multiple worker age…

cs.LG2025

SimuGen: Multi-modal Agentic Framework for Constructing Block Diagram-Based Simulation Models

Xinxing Ren, Qianbo Zang, Zekun Guo

Recent advances in large language models (LLMs) have shown impressive performance in mathematical reasoning and code generation. However, LLMs still struggle in the simulation doma…

cs.CY2025

Can AI automatically analyze public opinion? A LLM agents-based agentic pipeline for timely public opinion analysis

Jing Liu, Xinxing Ren, Yanmeng Xu +1

This study proposes and implements the first LLM agents based agentic pipeline for multi task public opinion analysis. Unlike traditional methods, it offers an end-to-end, fully au…