Papers by Dongxing Zhang

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.
Who Wrote This Line? Evaluating the Detection of LLM-Generated Classical Chinese Poetry (2026.acl-long)

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Challenge: a recent study shows that large language models can generate text, but they can also fabricate large amounts of false or misleading content.
Approach: They propose a benchmark to detect LLM-generated classical Chinese poetry . they compare 12 different AI detectors to find out whether a poem is authored by AI .
Outcome: The proposed benchmark compared 12 AI detectors with a dataset of 30,664 Chinese poems . the results highlight the limitations of current Chinese text detectors .

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