Papers by Sichen Liu

2 papers
FormulaReasoning: A Dataset for Formula-Based Numerical Reasoning (2026.findings-acl)

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Challenge: Existing datasets for numerical reasoning often lack explicit knowledge of formulas . current datasets do not provide process supervision information, resulting in incomplete reasoning .
Approach: They propose a benchmark for formula-based numerical reasoning with 5,324 questions . they provide annotations in English and Chinese and a formula database as an external knowledge source .
Outcome: The proposed model includes 5,324 questions requiring calculations grounded in external physics principles.
MMTutorBench: The First Multimodal Benchmark for AI Math Tutoring (2026.acl-long)

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Challenge: Existing benchmarks for AI math tutoring largely overlook these skills.
Approach: They evaluate 12 leading multimodal large language models and find clear performance gaps between them.
Outcome: The proposed benchmarks show that they can solve 770 problems and provide diagnostics and guidance to students step by step.

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