Bin Wang

Orcid: 0000-0002-5625-2966

Affiliations:
  • Shanghai Artificial Intelligence Laboratory, Shanghai, China


According to our database1, Bin Wang authored at least 76 papers between 2008 and 2026.

Collaborative distances:

Timeline

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Bibliography

2026
MinerU-Popo: Universal Post-Processing Model for Structured Document Parsing.
CoRR, May, 2026

CiteVQA: Benchmarking Evidence Attribution for Trustworthy Document Intelligence.
CoRR, May, 2026

WorldReasonBench: Human-Aligned Stress Testing of Video Generators as Future World-State Predictors.
CoRR, May, 2026

MolRecBench-Wild: A Real-World Benchmark for Optical Chemical Structure Recognition.
CoRR, May, 2026

Visual Generation in the New Era: An Evolution from Atomic Mapping to Agentic World Modeling.
CoRR, April, 2026

OntoTKGE: Ontology-Enhanced Temporal Knowledge Graph Extrapolation.
CoRR, April, 2026

MinerU2.5-Pro: Pushing the Limits of Data-Centric Document Parsing at Scale.
CoRR, April, 2026

MiroEval: Benchmarking Multimodal Deep Research Agents in Process and Outcome.
CoRR, March, 2026

MinerU-Diffusion: Rethinking Document OCR as Inverse Rendering via Diffusion Decoding.
CoRR, March, 2026

Molecular Identifier Visual Prompt and Verifiable Reinforcement Learning for Chemical Reaction Diagram Parsing.
CoRR, March, 2026

Exploring the Interactive Guidance for Unified and Effective Image Matting.
ACM Trans. Multim. Comput. Commun. Appl., February, 2026

AgenticOCR: Parsing Only What You Need for Efficient Retrieval-Augmented Generation.
CoRR, February, 2026

MoDora: Tree-Based Semi-Structured Document Analysis System.
CoRR, February, 2026

MiroFlow: Towards High-Performance and Robust Open-Source Agent Framework for General Deep Research Tasks.
CoRR, February, 2026

Sci-CoE: Co-evolving Scientific Reasoning LLMs via Geometric Consensus with Sparse Supervision.
CoRR, February, 2026

Can LLMs Clean Up Your Mess? A Survey of Application-Ready Data Preparation with LLMs.
CoRR, January, 2026

DocDancer: Towards Agentic Document-Grounded Information Seeking.
CoRR, January, 2026

Joint Knowledge Base Completion and Question Answering by Combining Large Language Models and Small Language Models.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025
DOCR-Inspector: Fine-Grained and Automated Evaluation of Document Parsing with VLM.
CoRR, December, 2025

ARM-Thinker: Reinforcing Multimodal Generative Reward Models with Agentic Tool Use and Visual Reasoning.
CoRR, December, 2025

TRivia: Self-supervised Fine-tuning of Vision-Language Models for Table Recognition.
CoRR, December, 2025

OpenMMReasoner: Pushing the Frontiers for Multimodal Reasoning with an Open and General Recipe.
CoRR, November, 2025

MiroThinker: Pushing the Performance Boundaries of Open-Source Research Agents via Model, Context, and Interactive Scaling.
CoRR, November, 2025

OmniLayout: Enabling Coarse-to-Fine Learning with LLMs for Universal Document Layout Generation.
CoRR, October, 2025

Efficient Multi-modal Large Language Models via Progressive Consistency Distillation.
CoRR, October, 2025

LLM/Agent-as-Data-Analyst: A Survey.
CoRR, September, 2025

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing.
CoRR, September, 2025

MiroMind-M1: An Open-Source Advancement in Mathematical Reasoning via Context-Aware Multi-Stage Policy Optimization.
CoRR, July, 2025

GTR-CoT: Graph Traversal as Visual Chain of Thought for Molecular Structure Recognition.
CoRR, June, 2025

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models.
CoRR, May, 2025

PM4Bench: A Parallel Multilingual Multi-Modal Multi-task Benchmark for Large Vision Language Model.
CoRR, March, 2025

MLLM-DataEngine: Closing the Loop of Multimodal Instruction Tuning Data Generation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

Beyond Multimodal Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

GeoX: Geometric Problem Solving Through Unified Formalized Vision-Language Pre-training.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented Generation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Chimera: Improving Generalist Model with Domain-Specific Experts.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

LEGION: Learning to Ground and Explain for Synthetic Image Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Image Over Text: Transforming Formula Recognition Evaluation with Character Detection Matching.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

SURVEYFORGE : On the Outline Heuristics, Memory-Driven Generation, and Multi-dimensional Evaluation for Automated Survey Writing.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
DropQueries: A Simple Way to Discover Comprehensive Segment Representations.
IEEE Trans. Multim., 2024

InternLM-XComposer2.5-OmniLive: A Comprehensive Multimodal System for Long-term Streaming Video and Audio Interactions.
CoRR, 2024

Chimera: Improving Generalist Model with Domain-Specific Experts.
CoRR, 2024

Document Parsing Unveiled: Techniques, Challenges, and Prospects for Structured Information Extraction.
CoRR, 2024

DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception.
CoRR, 2024

MinerU: An Open-Source Solution for Precise Document Content Extraction.
CoRR, 2024

CDM: A Reliable Metric for Fair and Accurate Formula Recognition Evaluation.
CoRR, 2024

OpenDataLab: Empowering General Artificial Intelligence with Open Datasets.
CoRR, 2024

InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output.
CoRR, 2024

DocGenome: An Open Large-scale Scientific Document Benchmark for Training and Testing Multi-modal Large Language Models.
CoRR, 2024

DocGenome: An Open Large-scale Scientific Document Benchmark for Training and Testing Multi-modal Large Language Models.
CoRR, 2024

OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text.
CoRR, 2024

DSDL: Data Set Description Language for Bridging Modalities and Tasks in AI Data.
CoRR, 2024

UniMERNet: A Universal Network for Real-World Mathematical Expression Recognition.
CoRR, 2024

InternLM2 Technical Report.
CoRR, 2024

InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model.
CoRR, 2024

How far are we to GPT-4V? Closing the gap to commercial multimodal models with open-source suites.
Sci. China Inf. Sci., 2024

Distribution-Aware Data Expansion with Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Parrot Captions Teach CLIP to Spot Text.
Proceedings of the Computer Vision - ECCV 2024, 2024

OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

VIGC: Visual Instruction Generation and Correction.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization.
CoRR, 2023

InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition.
CoRR, 2023

MLLM-DataEngine: An Iterative Refinement Approach for MLLM.
CoRR, 2023

WanJuan: A Comprehensive Multimodal Dataset for Advancing English and Chinese Large Models.
CoRR, 2023

V3Det: Vast Vocabulary Visual Detection Dataset.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Cycle-Consistent Learning for Weakly Supervised Semantic Segmentation.
Proceedings of the HCMA@MM 2022: Proceedings of the 3rd International Workshop on Human-Centric Multimedia Analysis, 2022

2019
Detection and tracking based tubelet generation for video object detection.
J. Vis. Commun. Image Represent., 2019

Spatiotemporal Breast Mass Detection Network (MD-Net) in 4D DCE-MRI Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Boundary Perception Guidance: A Scribble-Supervised Semantic Segmentation Approach.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Automated Pulmonary Nodule Detection: High Sensitivity with Few Candidates.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2012
Staying-alive path planning with energy optimization for mobile robots.
Expert Syst. Appl., 2012

2008
Staying-alive and energy-efficient path planning for mobile robots.
Proceedings of the American Control Conference, 2008

A new feedrate adaptation control NURBS interpolation based on de boor algorithm in CNC systems.
Proceedings of the American Control Conference, 2008


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