collaborators

8 papers

cs.CV2026

GameReplica: A Benchmark for Black-Box Visual Game Replication by Vision-Language Agents

Boyu Qiao, Zixin Tang, Xiaoshuai Hao +1

Coding-agent benchmarks usually evaluate implementation after the target behavior has been specified in text, code, or demonstrations. Existing research has extensively evaluated t…

cs.AI2026

ReflectFact: Self-Reflective Agents for Improving Comprehension and Reasoning in Multi-Hop Fact Verification

Runze Zhao, Zixin Tang, Xiaoshuai Hao +4

Multi-hop fact verification, which verifies claims by reasoning over multiple pieces of evidence, is critical for combating misinformation on social media yet remains highly challe…

cs.CL2026

LLM Reasoning as Trajectories: Step-Specific Representation Geometry and Correctness Signals

Lihao Sun, Hang Dong, Bo Qiao +3

This work characterizes large language models' chain-of-thought generation as a structured trajectory through representation space. We show that mathematical reasoning traverses fu…

cs.DC2026

Zipage: Maintain High Request Concurrency for LLM Reasoning through Compressed PagedAttention

Mengqi Liao, Lu Wang, Chaoyun Zhang +6

With reasoning becoming the generative paradigm for large language models (LLMs), the memory bottleneck caused by KV cache during the decoding phase has become a critical factor li…

cs.SE2026

Computer-Using World Model

Yiming Guan, Rui Yu, John Zhang +15

Agents operating in complex software environments benefit from reasoning about the consequences of their actions, as even a single incorrect user interface (UI) operation can derai…

cs.AI2025

GUI-360: A Comprehensive Dataset and Benchmark for Computer-Using Agents

Jian Mu, Chaoyun Zhang, Chiming Ni +14

We introduce GUI-360, a large-scale, comprehensive dataset and benchmark suite designed to advance computer-using agents (CUAs). CUAs present unique challenges and is const…

cs.DC2025

UFO3: Weaving the Digital Agent Galaxy

Chaoyun Zhang, Liqun Li, He Huang +8

Large language model (LLM)-powered agents are transforming digital devices from passive tools into proactive intelligent collaborators. However, most existing frameworks remain con…

cs.CL2025

GUI-Actor: Coordinate-Free Visual Grounding for GUI Agents

Qianhui Wu, Kanzhi Cheng, Rui Yang +15

One of the principal challenges in building VLM-powered GUI agents is visual grounding, i.e., localizing the appropriate screen region for action execution based on both the visual…