Papers by Alice Ng

2 papers
DrawEduMath: Evaluating Vision Language Models with Expert-Annotated Students’ Hand-Drawn Math Images (2025.naacl-long)

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Challenge: DrawEduMath examines the ability of vision language models to handle real-world math problems, such as those encountered in classrooms and tutoring sessions.
Approach: They present DrawEduMath, an English-language dataset of 2,030 images of students’ handwritten responses to math problems.
Outcome: The proposed model can be used to evaluate teachers' QA pairs and 44,362 synthetic QAs derived from teachers' descriptions.
Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation (2025.acl-long)

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Challenge: Reliable multilingual evaluation is difficult and culturally appropriate evaluation is even harder to achieve.
Approach: They propose a multilingual evaluation framework that aims to mitigate these biases by improving translations and annotation practices.
Outcome: The proposed framework improves translation quality and cultural coverage and is culturally sensitive and culturally agnostic.

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