activity
20232026
most citedSWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

5 citations · 7 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2026

Qwen-Image-2.0 Technical Report

Bing Zhao, Chenfei Wu, Deqing Li +72

We present Qwen-Image-2.0, an omni-capable image generation foundation model that unifies high-fidelity generation and precise image editing within a single framework. Despite rece…

cs.CV2026

Wan-Image: Pushing the Boundaries of Generative Visual Intelligence

Chaojie Mao, Chen-Wei Xie, Chongyang Zhong +55

We present Wan-Image, a unified visual generation system explicitly engineered to paradigm-shift image generation models from casual synthesizers into professional-grade productivi…

cs.CL2025

Qwen3Guard Technical Report

Haiquan Zhao, Chenhan Yuan, Fei Huang +40

As large language models (LLMs) become more capable and widely used, ensuring the safety of their outputs is increasingly critical. Existing guardrail models, though useful in stat…

cs.AI2025

AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications

Dawei Gao, Zitao Li, Yuexiang Xie +20

Driven by rapid advancements of Large Language Models (LLMs), agents are empowered to combine intrinsic knowledge with dynamic tool use, greatly enhancing their capacity to address…

cs.CL2024★ 5 cited

SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Yuze Zhao, Jintao Huang, Jinghan Hu +10

Recent development in Large Language Models (LLMs) and Multi-modal Large Language Models (MLLMs) have leverage Attention-based Transformer architectures and achieved superior perfo…

cs.SE2024★ 1 cited

CodexGraph: Bridging Large Language Models and Code Repositories via Code Graph Databases

Xiangyan Liu, Bo Lan, Zhiyuan Hu +5

Large Language Models (LLMs) excel in stand-alone code tasks like HumanEval and MBPP, but struggle with handling entire code repositories. This challenge has prompted research on e…

cs.CL2023★ 1 cited

ModelScope-Agent: Building Your Customizable Agent System with Open-source Large Language Models

Chenliang Li, Hehong Chen, Ming Yan +11

Large language models (LLMs) have recently demonstrated remarkable capabilities to comprehend human intentions, engage in reasoning, and design planning-like behavior. To further u…

cs.CV2023

FaceChain: A Playground for Human-centric Artificial Intelligence Generated Content

Yang Liu, Cheng Yu, Lei Shang +17

Recent advancement in personalized image generation have unveiled the intriguing capability of pre-trained text-to-image models on learning identity information from a collection o…