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SWE-Lego

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

AI & ML interests

We study code intelligence.

Recent Activity

tcftrees  authored a paper 7 days ago
Prefilling-dLLM: Predictive Prefilling for Long-Context Inference in Diffusion Language Models
tcftrees  authored a paper about 1 month ago
MMFormalizer: Multimodal Autoformalization in the Wild
tcftrees  authored a paper about 1 month ago
MMDeepResearch-Bench: A Benchmark for Multimodal Deep Research Agents
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Papers

What Makes Interaction Trajectories Effective for Training Terminal Agents?

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

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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 2
2

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
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