daVinci-Env: Open SWE Environment Synthesis at Scale
Fuente:
arXiv
Saved in:
| Main Authors: | Fu, Dayuan, Wu, Shenyu, Wu, Yunze, Peng, Zerui, Huang, Yaxing, Sun, Jie, Zeng, Ji, Jiang, Mohan, Zhang, Lin, Li, Yukun, Hu, Jiarui, Liu, Liming, Hou, Jinlong, Liu, Pengfei |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
daVinci-Dev: Agent-native Mid-training for Software Engineering
by: Zeng, Ji, et al.
Published: (2026)
by: Zeng, Ji, et al.
Published: (2026)
daVinci-Agency: Unlocking Long-Horizon Agency Data-Efficiently
by: Jiang, Mohan, et al.
Published: (2026)
by: Jiang, Mohan, et al.
Published: (2026)
daVinci-LLM:Towards the Science of Pretraining
by: Qin, Yiwei, et al.
Published: (2026)
by: Qin, Yiwei, et al.
Published: (2026)
DatasetResearch: Benchmarking Agent Systems for Demand-Driven Dataset Discovery
by: Li, Keyu, et al.
Published: (2025)
by: Li, Keyu, et al.
Published: (2025)
EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis
by: Song, Xiaoshuai, et al.
Published: (2026)
by: Song, Xiaoshuai, et al.
Published: (2026)
EnvFactory: Scaling Tool-Use Agents via Executable Environments Synthesis and Robust RL
by: Xu, Minrui, et al.
Published: (2026)
by: Xu, Minrui, et al.
Published: (2026)
DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments
by: Zheng, Yuxiang, et al.
Published: (2025)
by: Zheng, Yuxiang, et al.
Published: (2025)
AutoEnv: Automated Environments for Measuring Cross-Environment Agent Learning
by: Zhang, Jiayi, et al.
Published: (2025)
by: Zhang, Jiayi, et al.
Published: (2025)
ScaleEnv: Scaling Environment Synthesis from Scratch for Generalist Interactive Tool-Use Agent Training
by: Tu, Dunwei, et al.
Published: (2026)
by: Tu, Dunwei, et al.
Published: (2026)
Context Engineering 2.0: The Context of Context Engineering
by: Hua, Qishuo, et al.
Published: (2025)
by: Hua, Qishuo, et al.
Published: (2025)
Scalable Distributed Least Squares Algorithm for Linear Algebraic Equations via Periodic Scheduling
by: Liu, Shenyu
Published: (2024)
by: Liu, Shenyu
Published: (2024)
SWE-Universe: Scale Real-World Verifiable Environments to Millions
by: Chen, Mouxiang, et al.
Published: (2026)
by: Chen, Mouxiang, et al.
Published: (2026)
ResearchEnvBench: Benchmarking Agents on Environment Synthesis for Research Code Execution
by: Wang, Yubang, et al.
Published: (2026)
by: Wang, Yubang, et al.
Published: (2026)
R2E-Gym: Procedural Environments and Hybrid Verifiers for Scaling Open-Weights SWE Agents
by: Jain, Naman, et al.
Published: (2025)
by: Jain, Naman, et al.
Published: (2025)
AgencyBench: Benchmarking the Frontiers of Autonomous Agents in 1M-Token Real-World Contexts
by: Li, Keyu, et al.
Published: (2026)
by: Li, Keyu, et al.
Published: (2026)
SWE-Mirror: Scaling Issue-Resolving Datasets by Mirroring Issues Across Repositories
by: Wang, Junhao, et al.
Published: (2025)
by: Wang, Junhao, et al.
Published: (2025)
EnvBench: A Benchmark for Automated Environment Setup
by: Eliseeva, Aleksandra, et al.
Published: (2025)
by: Eliseeva, Aleksandra, et al.
Published: (2025)
ShuttleEnv: An Interactive Data-Driven RL Environment for Badminton Strategy Modeling
by: Li, Ang, et al.
Published: (2026)
by: Li, Ang, et al.
Published: (2026)
Cloud-based XAI Services for Assessing Open Repository Models Under Adversarial Attacks
by: Wang, Zerui, et al.
Published: (2024)
by: Wang, Zerui, et al.
Published: (2024)
TrEnv-X: Transparently Share Serverless Execution Environments Across Different Functions and Nodes
by: Huang, Jialiang, et al.
Published: (2025)
by: Huang, Jialiang, et al.
Published: (2025)
Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs
by: Zeng, Liang, et al.
Published: (2025)
by: Zeng, Liang, et al.
Published: (2025)
Semiparametric Learning from Open-Set Label Shift Data
by: Liu, Siyan, et al.
Published: (2025)
by: Liu, Siyan, et al.
Published: (2025)
SortingEnv: An Extendable RL-Environment for an Industrial Sorting Process
by: Maus, Tom, et al.
Published: (2025)
by: Maus, Tom, et al.
Published: (2025)
EnvGS: Modeling View-Dependent Appearance with Environment Gaussian
by: Xie, Tao, et al.
Published: (2024)
by: Xie, Tao, et al.
Published: (2024)
EnvSimBench: A Benchmark for Evaluating and Improving LLM-Based Environment Simulation
by: Liu, Yi, et al.
Published: (2026)
by: Liu, Yi, et al.
Published: (2026)
Interaction as Intelligence Part II: Asynchronous Human-Agent Rollout for Long-Horizon Task Training
by: Fu, Dayuan, et al.
Published: (2025)
by: Fu, Dayuan, et al.
Published: (2025)
InnovatorBench: Evaluating Agents' Ability to Conduct Innovative LLM Research
by: Wu, Yunze, et al.
Published: (2025)
by: Wu, Yunze, et al.
Published: (2025)
SWE-Dev: Building Software Engineering Agents with Training and Inference Scaling
by: Wang, Haoran, et al.
Published: (2025)
by: Wang, Haoran, et al.
Published: (2025)
EnvBridge: Bridging Diverse Environments with Cross-Environment Knowledge Transfer for Embodied AI
by: Kagaya, Tomoyuki, et al.
Published: (2024)
by: Kagaya, Tomoyuki, et al.
Published: (2024)
Open-Nav: Exploring Zero-Shot Vision-and-Language Navigation in Continuous Environment with Open-Source LLMs
by: Qiao, Yanyuan, et al.
Published: (2024)
by: Qiao, Yanyuan, et al.
Published: (2024)
SWE-rebench V2: Language-Agnostic SWE Task Collection at Scale
by: Badertdinov, Ibragim, et al.
Published: (2026)
by: Badertdinov, Ibragim, et al.
Published: (2026)
ClawEnvKit: Automatic Environment Generation for Claw-Like Agents
by: Li, Xirui, et al.
Published: (2026)
by: Li, Xirui, et al.
Published: (2026)
The EnvDesign Model: A Method to Solve the Environment Design Problem
by: Sathiya, Akshay, et al.
Published: (2024)
by: Sathiya, Akshay, et al.
Published: (2024)
An Open API Architecture to Discover the Trustworthy Explanation of Cloud AI Services
by: Wang, Zerui, et al.
Published: (2024)
by: Wang, Zerui, et al.
Published: (2024)
EnvPoser: Environment-aware Realistic Human Motion Estimation from Sparse Observations with Uncertainty Modeling
by: Xia, Songpengcheng, et al.
Published: (2024)
by: Xia, Songpengcheng, et al.
Published: (2024)
DriveEnv-NeRF: Exploration of A NeRF-Based Autonomous Driving Environment for Real-World Performance Validation
by: Shen, Mu-Yi, et al.
Published: (2024)
by: Shen, Mu-Yi, et al.
Published: (2024)
Penalized empirical likelihood estimation and EM algorithms for closed-population capture-recapture models
by: Liu, Yang, et al.
Published: (2022)
by: Liu, Yang, et al.
Published: (2022)
Key Resources Table_Zhai et al. 2025_rev2 in .csv format
by: Zhai, Shenyu
Published: (2025)
by: Zhai, Shenyu
Published: (2025)
Key Resources Table_Zhai et al. 2025_rev2 in .csv format
by: Zhai, Shenyu
Published: (2025)
by: Zhai, Shenyu
Published: (2025)
EnvTriCascade: An Environment-Aware Tri-Stage Cascaded Framework for ESDD2 2026 Challenge
by: Huang, Hengyan, et al.
Published: (2026)
by: Huang, Hengyan, et al.
Published: (2026)
Similar Items
-
daVinci-Dev: Agent-native Mid-training for Software Engineering
by: Zeng, Ji, et al.
Published: (2026) -
daVinci-Agency: Unlocking Long-Horizon Agency Data-Efficiently
by: Jiang, Mohan, et al.
Published: (2026) -
daVinci-LLM:Towards the Science of Pretraining
by: Qin, Yiwei, et al.
Published: (2026) -
DatasetResearch: Benchmarking Agent Systems for Demand-Driven Dataset Discovery
by: Li, Keyu, et al.
Published: (2025) -
EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis
by: Song, Xiaoshuai, et al.
Published: (2026)