Papers by Dongxing Mao

2 papers
From Charts to Code: A Hierarchical Benchmark for Multimodal Models (2026.acl-long)

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Challenge: Chart2Code is a new benchmark for evaluating the natural language to chart code generation capabilities of large multimodal models.
Approach: They introduce Chart2Code, a new benchmark for evaluating the natural language to chart code generation capabilities of large multimodal models.
Outcome: The proposed benchmark is the first to scale task complexity while capturing diverse scenarios.
AssistSR: Task-oriented Video Segment Retrieval for Personal AI Assistant (2022.findings-emnlp)

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Challenge: Currently, personal AI assistants on the phone and AR glasses can assist our daily life in addressing our questions like "how to adjust the date for this watch?"
Approach: They propose a task that asks a question about affordance of items in our daily life . they construct a dataset that contains 3.2k multimodal questions on 1.6k video segments .
Outcome: The proposed task outperforms baseline methods while still having room for improvement in the future.

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