8 citations · 8 across the 7 of their papers we have counts for
5 papers · 1 filter
Thinking with Programming Vision: Towards a Unified View for Thinking with Images
Zirun Guo, Minjie Hong, Feng Zhang +2
Multimodal large language models (MLLMs) that think with images can interactively use tools to reason about visual inputs, but current approaches often rely on a narrow set of tool…
Chain-of-Thought Re-ranking for Image Retrieval Tasks
Shangrong Wu, Yanghong Zhou, Yang Chen +2
Image retrieval remains a fundamental yet challenging problem in computer vision. While recent advances in Multimodal Large Language Models (MLLMs) have demonstrated strong reasoni…
LLM-I: LLMs are Naturally Interleaved Multimodal Creators
Zirun Guo, Feng Zhang, Kai Jia +1
We propose LLM-Interleaved (LLM-I), a flexible and dynamic framework that reframes interleaved image-text generation as a tool-use problem. LLM-I is designed to overcome the "one-t…
RSCC: A Large-Scale Remote Sensing Change Caption Dataset for Disaster Events
Zhenyuan Chen, Chenxi Wang, Ningyu Zhang +1
Remote sensing is critical for disaster monitoring, yet existing datasets lack temporal image pairs and detailed textual annotations. While single-snapshot imagery dominates curren…
Adaptive Deep Reasoning: Triggering Deep Thinking When Needed
Yunhao Wang, Yuhao Zhang, Tinghao Yu +3
Large language models (LLMs) have shown impressive capabilities in handling complex tasks through long-chain reasoning. However, the extensive reasoning steps involved can signific…