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20242026
most citedCMMaTH: A Chinese Multi-modal Math Skill Evaluation Benchmark for Foundation Models

2 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

ChronoVision: Temporal Reasoning via Latent State Reconstruction

Yifan Shen, Jian Xu, Boyi Li +6

Multimodal large language models excel at passive perception but struggle with complex visual cognitive tasks requiring multi-step temporal reasoning. This degradation largely stem…

cs.AI2026

Evaluating Cognitive Age Alignment in Interactive AI Agents

Yifan Shen, Jiawen Zhang, Jian Xu +4

While agentic AI and its core multimodal large language models (MLLMs) have demonstrated remarkable promise in language and visual reasoning across domains ranging from daily life…

cs.AI2025

Multimodal Agricultural Agent Architecture (MA3): A New Paradigm for Intelligent Agricultural Decision-Making

Zhuoning Xu, Jian Xu, Mingqing Zhang +3

As a strategic pillar industry for human survival and development, modern agriculture faces dual challenges: optimizing production efficiency and achieving sustainable development.…

cs.AI2024★ 1 cited

LongDocURL: a Comprehensive Multimodal Long Document Benchmark Integrating Understanding, Reasoning, and Locating

Chao Deng, Jiale Yuan, Pi Bu +8

Large vision language models (LVLMs) have improved the document understanding capabilities remarkably, enabling the handling of complex document elements, longer contexts, and a wi…

cs.CV2024

StylePrompter: Enhancing Domain Generalization with Test-Time Style Priors

Jiao Zhang, Jian Xu, Xu-Yao Zhang +1

In real-world applications, the sample distribution at the inference stage often differs from the one at the training stage, causing performance degradation of trained deep models.…

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…