collaborators

11 papers

cs.AI2026

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory

Jiayi Tian, Shiao Liu, Yuting Xu +30

Recent VLM and VLA systems have improved robotic perception and action prediction, yet long-horizon embodied agents still require a general runtime layer for reasoning, memory, too…

cs.AI2026

LLM-as-Code: Agentic Programming for Agent Harness

Junjia Qi, Zichuan Fu, Jingtong Gao +4

Every major LLM agent framework gives the LLM the role of orchestrator; the model decides what to do next, when to call tools, and when to stop. We argue that token explosion, cont…

cs.CL2026

TVIR: Building Deep Research Agents Towards Text-Visual Interleaved Report Generation

Xinkai Ma, Zhiqi Bai, Dingling Zhang +21

Deep Research Agents have shown strong capability in multi-step information retrieval, reasoning, and long-form report generation, but existing benchmarks and systems remain predom…

cs.AI2026

MobileGym: A Verifiable and Highly Parallel Simulation Platform for Mobile GUI Agent Research

Dingbang Wu, Rui Hao, Haiyang Wang +8

We present MobileGym, a browser-hosted, lightweight, fully controllable environment for everyday mobile use, targeting interaction fidelity without replicating proprietary backends…

cs.RO2026

WorldArena 2.0: Extending Embodied World Model Benchmarking on Modality, Functionality and Platform

Yu Shang, Yinzhou Tang, Yiding Ma +26

World models have emerged as a central paradigm for embodied intelligence, enabling agents to predict action-conditioned future and reason about environmental dynamics. However, ex…

cs.CL2026

OProver: A Unified Framework for Agentic Formal Theorem Proving

David Ma, Kaijing Ma, Shawn Guo +7

Recent progress in formal theorem proving has benefited from large-scale proof generation and verifier-aware training, but agentic proving is rarely integrated into prover training…

cs.RO2026

DexJoCo: A Benchmark and Toolkit for Task-Oriented Dexterous Manipulation on MuJoCo

Hanwen Wang, Weizhi Zhao, Xiangyu Wang +11

Achieving human-level manipulation requires dexterous robotic hands capable of complex object interactions. Advancing such capabilities further demands standardized benchmarks for…

cs.CV2026

AutoGUI-v2: A Comprehensive Multi-Modal GUI Functionality Understanding Benchmark

Hongxin Li, Xiping Wang, Jingran Su +4

Autonomous agents capable of navigating Graphical User Interfaces (GUIs) hold the potential to revolutionize digital productivity. However, achieving true digital autonomy extends…

cs.CV2026

GoClick: Lightweight Element Grounding Model for Autonomous GUI Interaction

Hongxin Li, Yuntao Chen, Zhaoxiang Zhang

Graphical User Interface (GUI) element grounding (precisely locating elements on screenshots based on natural language instructions) is fundamental for agents interacting with GUIs…

cs.RO2025

MarketGen: A Scalable Simulation Platform with Auto-Generated Embodied Supermarket Environments

Xu Hu, Yiyang Feng, Junran Peng +7

The development of embodied agents for complex commercial environments is hindered by a critical gap in existing robotics datasets and benchmarks, which primarily focus on househol…

cs.CV2025

DexVLG: Dexterous Vision-Language-Grasp Model at Scale

Jiawei He, Danshi Li, Xinqiang Yu +7

As large models gain traction, vision-language-action (VLA) systems are enabling robots to tackle increasingly complex tasks. However, limited by the difficulty of data collection,…