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State-of-the-art VLMs struggle to execute scientific research workflows, revealing a critical gap in their ability to interact with specialized software and produce verifiable results.
Code2LoRA achieves high performance in code comprehension and adaptation with zero inference-time overhead, revolutionizing how we handle repository-specific knowledge in code language models.