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saridormi  updated a Space about 2 hours ago
JetBrains-Research/commit-message-editing
yaroslav-zharov  authored a paper 3 months ago
EnvBench: A Benchmark for Automated Environment Setup
yaroslav-zharov  authored a paper 3 months ago
The Complexity Trap: Simple Observation Masking Is as Efficient as LLM Summarization for Agent Context Management
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Papers

Towards Evaluation of Implicit Software World Models in Coding LLMs

On Pretraining for Project-Level Code Completion

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At JetBrains we are building AI-assisted developer tools to free developers from repetitive tasks, help them stay in the flow and produce high quality software. We are working on various code processing tasks such as code completion, code generation, code summarization, diff processing, code editing and more.

Our specific areas of interest include (but are not limited to!) the following:

  • High-quality ML models for every programming language
    • Training materials and techniques for low-resource languages
    • Improving models’ performance with feedback from code analysis tools
  • Adapting models to the software project at hands
    • Long-context models and their evaluation
    • Efficient in-project retrieval
  • Agents that can perform software engineering tasks
    • Issue-solving agents
    • Debugging agents

Learn more about us: JetBrains Research | JetBrains AI Assistant | JetBrains AI

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📁 Repository-Level Pre-Trained OpenCoder 🧩
All the checkpoints from Table 3 of the paper “On Pretraining for Project-Level Code Completion.”
📁 Repository-Level Pre-Trained OpenCoder 🧩
All the checkpoints from Table 3 of the paper “On Pretraining for Project-Level Code Completion.”
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