works on

From the 1 of 10 linked papers with an AI index.

collaborators

10 papers

cs.AI2026

Hierarchical Graph Memory for LLM Agents with Path-level Localization and Rewrite

Xiawei Yue, Boran Wang, Xiaoqing Zhang +2

Agents for long term reasoning require a memory that can be efficiently and effectively updated over time, as new facts and external feedback continue to arrive. Recently, graph me…

cs.AI2026

OrchBench: Evaluating Multi-Agent Orchestration Plans in Isolation via Deterministic Simulation

Zhenzhen Ren, Jiyan He, Xinpeng Zhang +5

The paper introduces OrchBench, a deterministic simulation benchmark that evaluates multi‑agent orchestration plans on DAG‑structured tasks in isolation, providing fast, token‑effi…

cs.MA2026

Modeling Earth-Scale Human-Like Societies with One Billion Agents

Haoxiang Guan, Jiyan He, Liyang Fan +10

Understanding the dynamic evolution of complex social phenomena requires both high-fidelity modeling of human behavior and large-scale simulations. Traditional agent-based models (…

cs.MA2026

APS: Bias-Controlled Adaptive Prototype Simulation for Population-Scale LLM Agents

Quan Zheng, Yan Gao, Shaobin He +6

LLM-agent simulation offers a flexible computational tool for studying population response trajectories that depend on scenario events, memory, demographics, and evolving social co…

cs.AI2026

FutureWorld: A Live Reinforcement Learning Environment for Predictive Agents with Real-World Outcome Rewards

Zhixin Han, Yanzhi Zhang, Chuyang Wei +11

Live future prediction refers to the task of making predictions about real-world events before they unfold. This task is increasingly studied using large language model-based agent…

cs.CR2026

GUIGuard-Bench: Toward a General Evaluation for Privacy-Preserving GUI Agents

Yanxi Wang, Zhiling Zhang, Wenbo Zhou +6

As GUI agents increasingly rely on screenshots to perceive and operate digital environments, they may inadvertently expose sensitive information such as identities, accounts, locat…