activity
20242026
collaborators

7 papers

cs.AI2026

BlueLM-GUI Technical Report: A Real-Device-Centric Flywheel for Self-Improving Mobile GUI Agents

Tong Ye, Kunyang Han, Guozhi Wang +40

Mobile GUI agents are shifting from multi-module frameworks to native models trained end-to-end, yet industrial deployment faces three persistent gaps. Sandbox training produces a…

cs.AI2026

Bioinfoysis Technical Report

Qingyang Shao, Xin Zhang, Zhouyang Yuan +24

Large language model agents have shown promise in bioinformatics, but most existing systems focus primarily on producing final answers, treating planning, tool use, and code execut…

cs.AI2026

Domain-Specific Data Synthesis for LLMs via Minimal Sufficient Representation Learning

Tong Ye, Hang Yu, Tengfei Ma +6

Large Language Models have demonstrated remarkable progress in general-purpose capabilities and can achieve strong performance in specific domains through fine-tuning on domain-spe…

cs.SE2025

ModiGen: A Large Language Model-Based Workflow for Multi-Task Modelica Code Generation

Jiahui Xiang, Tong Ye, Peiyu Liu +2

Modelica is a widely adopted language for simulating complex physical systems, yet effective model creation and optimization require substantial domain expertise. Although large la…

cs.SE2025

LLM4EFFI: Leveraging Large Language Models to Enhance Code Efficiency and Correctness

Tong Ye, Weigang Huang, Xuhong Zhang +4

Large Language Models (LLMs), particularly Code LLMs, have demonstrated impressive performance in code generation. Current research primarily focuses on the correctness of generate…

cs.PL2024

A Problem-Oriented Perspective and Anchor Verification for Code Optimization

Tong Ye, Tengfei Ma, Xuhong Zhang +3

Large Language Models (LLMs) have shown remarkable capabilities in solving various programming tasks, such as code generation. However, their potential for code optimization, parti…