NeurIPS Spotlight "multimodal large language models" Papers

7 papers found

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FUDOKI: Discrete Flow-based Unified Understanding and Generation via Kinetic-Optimal Velocities

Jin Wang, Yao Lai, Aoxue Li et al.

NeurIPS 2025spotlightarXiv:2505.20147
20
citations

GeoLLaVA-8K: Scaling Remote-Sensing Multimodal Large Language Models to 8K Resolution

Fengxiang Wang, Mingshuo Chen, Yueying Li et al.

NeurIPS 2025spotlightarXiv:2505.21375
11
citations

MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Chaoyou Fu, Peixian Chen, Yunhang Shen et al.

NeurIPS 2025spotlightarXiv:2306.13394
1237
citations

Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search

Huanjin Yao, Jiaxing Huang, Wenhao Wu et al.

NeurIPS 2025spotlightarXiv:2412.18319
102
citations

ORIGAMISPACE: Benchmarking Multimodal LLMs in Multi-Step Spatial Reasoning with Mathematical Constraints

Rui Xu, Dakuan Lu, Zicheng Zhao et al.

NeurIPS 2025spotlightarXiv:2511.18450
2
citations

VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction

Chaoyou Fu, Haojia Lin, Xiong Wang et al.

NeurIPS 2025spotlightarXiv:2501.01957
130
citations

Web-Shepherd: Advancing PRMs for Reinforcing Web Agents

Hyungjoo Chae, Seonghwan Kim, Junhee Cho et al.

NeurIPS 2025spotlightarXiv:2505.15277
8
citations