most citedInternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

4 citations · 4 across the 10 of their papers we have counts for

collaborators

12 papers

cs.CV2026

MetaReason: Precise Interleaved Multimodal Reasoning via Editing Meta Information for Solving Geometry Problems

Penghao Yin, Haomin Wang, Qihong Tang +3

Although visual reasoning is crucial for solving complex geometry tasks, existing vision-language models rely heavily on text-only reasoning. Some recent methods introduce intermed…

cs.LG2026

Intern-S2-Preview: Scientific Agentic Foundation Model

Lei Bai, Jiaqi Cao, Chiyu Chen +121

Scientific discovery increasingly requires AI systems that can reason over scientific evidence of heterogeneous modalities, interact with scientific tools and environments, and sus…

cs.CV2026

ParVL: Parallel Scaling and Expandable Compute Allocation for Multimodal LLMs

Yang Yang, Qinyu Zhao, Mouxiang Chen +5

Existing scaling strategies for Multimodal Large Language Models (MLLMs) typically expand either model parameters or sequential inference computation, incurring substantial memory…

cs.CV2026

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation

Xiaolong Zhou, Yifei Liu, Ziyang Gong +8

Multimodal Large Language Models (MLLMs) have made rapid progress in spatial intelligence, yet existing spatial reasoning benchmarks largely assume pristine visual inputs and overl…

cs.CV2026

PhotoFlow: Agentic 3D Virtual Photography Missions

Jiarui Guo, Haojia Wei, Yiming Zhang +5

Virtual photography asks an agent to enter a prepared 3D scene with no preselected camera pose or reference image, infer a suitable shot from scene information and a language inten…

cs.CV2026

Reliable Reasoning in SVG-LLMs via Multi-Task Multi-Reward Reinforcement Learning

Haomin Wang, Qi Wei, Qianli Ma +4

With the rapid advancement of vision-language models, an increasing number of studies have explored their potential for SVG generation tasks. Although existing approaches improve p…