activity
20152026
most citedTextField: Learning A Deep Direction Field for Irregular Scene Text Detection

370 citations · 522 across the 44 of their papers we have counts for

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15 papers · 1 filter

cs.CV2026

DocClaw: A Unified Agentic System for Intelligent Document Processing

Siqi Xiang, Zhipeng Xu, Yufei Liu +6

Intelligent document processing (IDP) encompasses a broad range of tasks, including optical character recognition (OCR), document question answering (DocQA), and key information ex…

cs.AI2026

Science Edge Evaluation: SEE the Missing Step Toward Real Scientific Discovery

Taolin Han, Yuchen Zhang, Jinghang Wang +22

Large language models (LLMs) are increasingly involved in scientific discovery, yet it remains unclear whether they can support complex real laboratory science. Here we introduce S…

cs.CL2026

EntSQL: A Benchmark for Grounding Text-to-SQL in Long-Context Enterprise Knowledge

Chengxi Liao, Tao Xu, Zulong Chen +7

Text-to-SQL enables natural language access to databases, and recent LLMs have substantially advanced its capabilities. Existing benchmarks such as Spider, BIRD, and Spider~2.0 eva…

cs.LG2026

More Than Memory: Task-Conditioned Signed FFN Writes in Long-Context Retrieval

Zhibo Yang

FFNs are often treated as parametric memories. In long-context retrieval, however, the sharper question is not only what they store, but whether their native residual writes push t…

cs.RO2026

Qwen-VLA: Unifying Vision-Language-Action Modeling across Tasks, Environments, and Robot Embodiments

Qiuyue Wang, Mingsheng Li, Jian Guan +37

Embodied intelligence is often studied through specialized models for individual tasks such as manipulation or navigation, resulting in fragmented capabilities and limited generali…

cs.AI2026

MPDocBench-Parse: Benchmarking Practical Multi-page Document Parsing

Bangbang Zhou, Hangdi Xing, Yifan Chen +8

Document parsing converts visually rich documents into machine-readable structured representations, forming a crucial foundation for information systems. Although many benchmarks h…

cs.CL2026

Multi-domain Multi-modal Document Classification Benchmark with a Multi-level Taxonomy

Denghao Ma, Qing Liu, Zulong Chen +5

Document classification forms the backbone of modern enterprise content management, yet existing benchmarks remain trapped in oversimplified paradigms -- single domain settings wit…

cs.CL2026

CC-OCR V2: Fine-Grained Attribution of LMM Failures in Real-World Visual Document Understanding

Chunyi Peng, Zhipeng Xu, Yuqi Xiong +12

Recent Large Multimodal Models (LMMs) have achieved remarkable progress on OCR-centric document understanding and processing tasks. Existing benchmarks primarily evaluate LMMs acro…

cs.CL2026

Triviality Corrected Endogenous Reward

Xinda Wang, Zhengxu Hou, Yangshijie Zhang +6

Reinforcement learning for open-ended text generation is constrained by the lack of verifiable rewards, necessitating reliance on judge models that require either annotated data or…

cs.CV2026

Learning Transferable Temporal Primitives for Video Reasoning via Synthetic Videos

Songtao Jiang, Sibo Song, Chenyi Zhou +12

The transition from image to video understanding requires vision-language models (VLMs) to shift from recognizing static patterns to reasoning over temporal dynamics such as motion…

cs.CV2026

From Narrow to Panoramic Vision: Attention-Guided Cold-Start Reshapes Multimodal Reasoning

Ruilin Luo, Chufan Shi, Yizhen Zhang +10

The cold-start initialization stage plays a pivotal role in training Multimodal Large Reasoning Models (MLRMs), yet its mechanisms remain insufficiently understood. To analyze this…

cs.CV2026

CodePercept: Code-Grounded Visual STEM Perception for MLLMs

Tongkun Guan, Zhibo Yang, Jianqiang Wan +10

When MLLMs fail at Science, Technology, Engineering, and Mathematics (STEM) visual reasoning, a fundamental question arises: is it due to perceptual deficiencies or reasoning limit…

cs.CV2026

UNIKIE-BENCH: Benchmarking Large Multimodal Models for Key Information Extraction in Visual Documents

Yifan Ji, Zhipeng Xu, Zhenghao Liu +7

Key Information Extraction (KIE) from real-world documents remains challenging due to substantial variations in layout structures, visual quality, and task-specific information req…

cs.CL2026★ 2 cited

Qwen3-VL-Embedding and Qwen3-VL-Reranker: A Unified Framework for State-of-the-Art Multimodal Retrieval and Ranking

Mingxin Li, Yanzhao Zhang, Dingkun Long +9

In this report, we introduce the Qwen3-VL-Embedding and Qwen3-VL-Reranker model series, the latest extensions of the Qwen family built on the Qwen3-VL foundation model. Together, t…

cs.CV2026★ 1 cited

BabyVision: Visual Reasoning Beyond Language

Liang Chen, Weichu Xie, Yiyan Liang +27

While humans develop core visual skills long before acquiring language, contemporary Multimodal LLMs (MLLMs) still rely heavily on linguistic priors to compensate for their fragile…