OpenVLThinkerV2: A Generalist Multimodal Reasoning Model for Multi-domain Visual Tasks

Wenbo Hu, Xin Chen, Yan Gao-Tian, Nanyun Peng, and Kai-Wei Chang, in COLM, 2026.

Code

Download the full text

Abstract

Source Code

Bib Entry

@inproceedings{hu2026openvlthinkerv2,
  title = {OpenVLThinkerV2: A Generalist Multimodal Reasoning Model for Multi-domain Visual Tasks},
  author = {Hu, Wenbo and Chen, Xin and Gao-Tian, Yan and Peng, Nanyun and Chang, Kai-Wei},
  booktitle = {COLM},
  keyword_extra = {llmreasoning},
  year = {2026}
}

Related Publications

Does Inference-Time Reasoning Really Improve Video Understanding?, NeurIPS, 2026
Thinking with Visual Grounding, EMNLP-Findings, 2026
VisRet: Visualization Improves Knowledge-Intensive Text-to-Image Retrieval, ACL, 2026
HoneyBee: Data Recipes for Vision-Language Reasoners, CVPR, 2026
MotionEdit: Benchmarking and Learning Motion-Centric Image Editing, CVPR, 2026
LaViDa: A Large Diffusion Language Model for Multimodal Understanding, NeurIPS, 2025
PARTONOMY: Large Multimodal Models with Part-Level Visual Understanding, NeurIPS, 2025
SlowFast-VGen: Slow-Fast Learning for Action-Driven Long Video Generation, ICLR, 2025
STIV: Scalable Text and Image Conditioned Video Generation, ICCV, 2025
Verbalized Representation Learning for Interpretable Few-Shot Generalization, ICCV, 2025
Contrastive Visual Data Augmentation, ICML, 2025
SYNTHIA: Novel Concept Design with Affordance Composition, ACL, 2025
Towards a holistic framework for multimodal LLM in 3D brain CT radiology report generation, Nature Communications, 2025
Enhancing Large Vision Language Models with Self-Training on Image Comprehension, NeurIPS, 2024
CoBIT: A Contrastive Bi-directional Image-Text Generation Model, ICLR, 2024
DesCo: Learning Object Recognition with Rich Language Descriptions, NeurIPS, 2023
"What's 'up' with vision-language models? Investigating their struggle to understand spatial relations.", EMNLP, 2023
Text Encoders are Performance Bottlenecks in Contrastive Vision-Language Models, EMNLP, 2023
MetaVL: Transferring In-Context Learning Ability From Language Models to Vision-Language Models, ACL (short), 2023
REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge, CVPR, 2023