collaborators

5 papers

cs.CV2025

FineState-Bench: A Comprehensive Benchmark for Fine-Grained State Control in GUI Agents

Fengxian Ji, Jingpu Yang, Zirui Song +6

With the rapid advancement of generative artificial intelligence technology, Graphical User Interface (GUI) agents have demonstrated tremendous potential for autonomously managing…

cs.LG2025

Divide-Fuse-Conquer: Eliciting "Aha Moments" in Multi-Scenario Games

Xiaoqing Zhang, Huabin Zheng, Ang Lv +5

Large language models (LLMs) have been observed to suddenly exhibit advanced reasoning abilities during reinforcement learning (RL), resembling an ``aha moment'' triggered by simpl…

cs.RO2025

ManipLVM-R1: Reinforcement Learning for Reasoning in Embodied Manipulation with Large Vision-Language Models

Zirui Song, Guangxian Ouyang, Mingzhe Li +10

Large Vision-Language Models (LVLMs) have recently advanced robotic manipulation by leveraging vision for scene perception and language for instruction following. However, existing…

cs.CV2025

Geolocation with Real Human Gameplay Data: A Large-Scale Dataset and Human-Like Reasoning Framework

Zirui Song, Jingpu Yang, Yuan Huang +6

Geolocation, the task of identifying an image's location, requires complex reasoning and is crucial for navigation, monitoring, and cultural preservation. However, current methods…

cs.CL2025

Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey

Zirui Song, Bin Yan, Yuhan Liu +4

Large Language Models (LLMs) have demonstrated remarkable success in various tasks such as natural language understanding, text summarization, and machine translation. However, the…