Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

SWE-Lego

Team
university
https://github.com/orgs/SWE-Lego
SWE-Lego
Activity Feed

AI & ML interests

We study code intelligence.

Recent Activity

ruoyu001  authored a paper 2 days ago
What Makes Interaction Trajectories Effective for Training Terminal Agents?
ruoyu001  updated a model 3 days ago
SWE-Lego/SWE-Review-30B-A3B
ruoyu001  updated a model 3 days ago
SWE-Lego/SWE-Review-8B
View all activity

Papers

SWE-Review: Closing the Loop on Issue Resolution with Agentic Code Review

What Makes Interaction Trajectories Effective for Training Terminal Agents?

View all Papers

Chaofan Tao's profile pictureYuxin Jiang's profile pictureHaoli Bai's profile pictureJierun Chen's profile pictureRuoyu Wang's profile pictureElvinDu's profile pictureTao Yuan's profile pictureShaowei Wang's profile picturelixiaohui's profile picturesidi yang's profile pictureSum Q's profile pictureconghao's profile pictureG F's profile pictureDavid Tom's profile picture
SWE-Lego 's papers 3
Submitted by
Ruoyu Wang
7

SWE-Review: Closing the Loop on Issue Resolution with Agentic Code Review

SWE-Lego SWE-Lego
9 2
3

What Makes Interaction Trajectories Effective for Training Terminal Agents?

SWE-Lego SWE-Lego
10
Submitted by
Yuxin Jiang
25

SWE-Lego: Pushing the Limits of Supervised Fine-tuning for Software Issue Resolving

SWE-Lego SWE-Lego
71 4
Company
TOS Privacy About Careers
Website
Models Datasets Spaces Pricing Docs