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Zineng Dong

2 accepted papers

2026

ASSESS: A Semantic and Structural Evaluation Framework for Statement Similarity

ICLR 2026poster

Despite significant strides in statement autoformalization, a critical gap remains in the development of automated evaluation metrics capable of assessing formal translation quality. Existing metrics often fail to balance semantic and structural information: string-based methods neglect semantics, w…

Cited by 0SourcecodeScholar
2026

Decompose, Structure, and Repair: A Neuro-Symbolic Framework for Autoformalization via Operator Trees

ICML 2026poster

Statement autoformalization acts as a critical bridge between human mathematics and formal mathematics by translating natural language problems into formal language. While prior works have focused on data synthesis and diverse training paradigms to optimize end-to-end Large Language Models (LLMs), t…

Cited by 0SourceScholar