Papers by Jacqueline Staub

2 papers
Program Synthesis Benchmark for Visual Programming in XLogoOnline Environment (2025.acl-long)

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Challenge: Large language and multimodal models have shown remarkable success on various benchmarks focused on specific skills such as general-purpose programming, math word problem-solving, and visual question answering.
Approach: They propose a program synthesis benchmark based on real-world programming tasks . they propose 'fine-tuning pipeline' to boost performance of large language models .
Outcome: The proposed model outperforms existing models on tasks that require a combination of skills on visual programming and programming.
TURTLEAI: Benchmarking Multimodal Models for Visual Programming in Turtle Graphics (2026.findings-acl)

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Challenge: Vision-language models have been explored for visual programming, but performance is unclear . most prior work focuses on visual programming for productivity .
Approach: They propose a visual programming benchmark that uses visual programming to evaluate VLMs.
Outcome: The proposed model improves on GPT-5, GPT-4o, and Qwen2-VL-72B on real-world tasks by 20% . the proposed model is based on 823 visual programming tasks in the Turtle Graphics domain .

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