collaborators

11 papers

cs.AI2026

Collaborative Learning and Reasoning over Model Slices

Yuheng Wang, Runde Yang, Zhuohan Bao +9

Large language models (LLMs) excel across diverse tasks, benefiting from knowledge priors, in-context reasoning, and test-time computation. Despite these strengths, single-model re…

cs.LG2026

CoEvoke: Evoking Multi-Agent Collaboration for Trajectory Collection

Lin Wu, Shu Yao, Yuheng Wang +11

Training multi-agent collaboration requires trajectories of checking, feedback, and repair, yet task-solving rollouts may end in immediate approval or repeat unsuccessful attempts…

cs.CL2026

DevicesWorld: Benchmarking Cross-Device Agents in Heterogeneous Environments

Huatao Li, Xinwei Geng, Yuheng Wang +9

LLM-based agents have rapidly improved at operating individual digital environments such as mobile applications, desktop systems, and smart homes. However, real-world user goals of…

cs.CL2026

OctoNest: Adaptive Cross-Device Execution through Stateful Control

Shu Yao, Yuhua Luo, Qian Long +7

Computer use agents are expanding from single-device operation toward cross-device systems that coordinate tasks across heterogeneous environments. Execution conditions are often o…

cs.AI2026

PRISM: A Benchmark for Programmatic Spatial-Temporal Reasoning

Qiran Zhang, Yuheng Wang, Runde Yang +9

Programmatic video generation through code offers geometric precision and temporal coherence beyond pixel-level diffusion models, yet rigorously evaluating whether language models…

cs.CL2026

Towards a Science of Collective AI: LLM-based Multi-Agent Systems Need a Transition from Blind Trial-and-Error to Rigorous Science

Jingru Fan, Dewen Liu, Yufan Dang +15

Recent advancements in Large Language Models (LLMs) have greatly extended the capabilities of Multi-Agent Systems (MAS), demonstrating significant effectiveness across a wide range…

cs.AI2026

AgentXRay: White-Boxing Agentic Systems via Workflow Reconstruction

Ruijie Shi, Houbin Zhang, Yuecheng Han +8

Large Language Models have shown strong capabilities in complex problem solving, yet many agentic systems remain difficult to interpret and control due to opaque internal workflows…

cs.CY2026

TeachMaster: Generative Teaching via Code

Yuheng Wang, Runde Yang, Lin Wu +9

The scalability of high-quality online education is hindered by the high costs and slow cycles of manual content creation. Despite advancements in video generation, current approac…

cs.AI2025

AppCopilot: Toward General, Accurate, Long-Horizon, and Efficient Mobile Agent

Jingru Fan, Yufan Dang, Jingyao Wu +5

With the raid evolution of large language models and multimodal models, the mobile-agent landscape has proliferated without converging on the fundamental challenges. This paper ide…

cs.CL2025

MemeCMD: An Automatically Generated Chinese Multi-turn Dialogue Dataset with Contextually Retrieved Memes

Yuheng Wang, Xianhe Tang, Pufeng Huang

Memes are widely used in online social interactions, providing vivid, intuitive, and often humorous means to express intentions and emotions. Existing dialogue datasets are predomi…

cs.CL2025

FormFactory: An Interactive Benchmarking Suite for Multimodal Form-Filling Agents

Bobo Li, Yuheng Wang, Hao Fei +4

Online form filling is a common yet labor-intensive task involving extensive keyboard and mouse interactions. Despite the long-standing vision of automating this process with "one…