activity
20242026
most citedA Survey on Agentic Multimodal Large Language Models

1 citations · 1 across the 7 of their papers we have counts for

collaborators
Showing 2024Show all

1 paper · 1 filter

cs.CV2024

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

Huanjin Yao, Jiaxing Huang, Wenhao Wu +8

In this work, we aim to develop an MLLM that understands and solves questions by learning to create each intermediate step of the reasoning involved till the final answer. To this…