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20222026
most citedFrom System 1 to System 2: A Survey of Reasoning Large Language Models

20 citations · 27 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2026

Geoparsing: Diagram Parsing for Plane and Solid Geometry with a Unified Formal Language

Peijie Wang, Ming-Liang Zhang, Jun Cao +10

Multimodal Large Language Models (MLLMs) have achieved remarkable progress but continue to struggle with geometric reasoning, primarily due to the perception bottleneck regarding f…

cs.AI2025★ 20 cited

From System 1 to System 2: A Survey of Reasoning Large Language Models

Zhong-Zhi Li, Duzhen Zhang, Ming-Liang Zhang +18

Achieving human-level intelligence requires refining the transition from the fast, intuitive System 1 to the slower, more deliberate System 2 reasoning. While System 1 excels in qu…

cs.AI2024

Fuse, Reason and Verify: Geometry Problem Solving with Parsed Clauses from Diagram

Ming-Liang Zhang, Zhong-Zhi Li, Fei Yin +2

Geometry problem solving (GPS) requires capacities of multi-modal understanding, multi-hop reasoning and theorem knowledge application. In this paper, we propose a neural-symbolic…

cs.CL2024★ 2 cited

CMMaTH: A Chinese Multi-modal Math Skill Evaluation Benchmark for Foundation Models

Zhong-Zhi Li, Ming-Liang Zhang, Fei Yin +7

Due to the rapid advancements in multimodal large language models, evaluating their multimodal mathematical capabilities continues to receive wide attention. Despite the datasets l…

cs.AI2024

GeoEval: Benchmark for Evaluating LLMs and Multi-Modal Models on Geometry Problem-Solving

Jiaxin Zhang, Zhongzhi Li, Mingliang Zhang +3

Recent advancements in large language models (LLMs) and multi-modal models (MMs) have demonstrated their remarkable capabilities in problem-solving. Yet, their proficiency in tackl…

cs.CV2023

LANS: A Layout-Aware Neural Solver for Plane Geometry Problem

Zhong-Zhi Li, Ming-Liang Zhang, Fei Yin +1

Geometry problem solving (GPS) is a challenging mathematical reasoning task requiring multi-modal understanding, fusion, and reasoning. Existing neural solvers take GPS as a vision…

cs.AI2023

A Multi-Modal Neural Geometric Solver with Textual Clauses Parsed from Diagram

Ming-Liang Zhang, Fei Yin, Cheng-Lin Liu

Geometry problem solving (GPS) is a high-level mathematical reasoning requiring the capacities of multi-modal fusion and geometric knowledge application. Recently, neural solvers h…

cs.CV2022★ 5 cited

Plane Geometry Diagram Parsing

Ming-Liang Zhang, Fei Yin, Yi-Han Hao +1

Geometry diagram parsing plays a key role in geometry problem solving, wherein the primitive extraction and relation parsing remain challenging due to the complex layout and betwee…