26 citations · 52 across the 39 of their papers we have counts for
Showing cs.CVShow all
3 papers · 1 filter
cs.CV2026
UniM: A Unified Any-to-Any Interleaved Multimodal Benchmark
Yanlin Li, Minghui Guo, Kaiwen Zhang +13
In real-world multimodal applications, systems usually need to comprehend arbitrarily combined and interleaved multimodal inputs from users, while also generating outputs in any in…
cs.CV2025
Latent Sketchpad: Sketching Visual Thoughts to Elicit Multimodal Reasoning in MLLMs
Huanyu Zhang, Wenshan Wu, Chengzu Li +9
While Multimodal Large Language Models (MLLMs) excel at visual understanding, they often struggle in complex scenarios that require visual planning and imagination. Inspired by how…
cs.CV2024
Multimodal Large Language Model is a Human-Aligned Annotator for Text-to-Image Generation
Xun Wu, Shaohan Huang, Furu Wei
Recent studies have demonstrated the exceptional potentials of leveraging human preference datasets to refine text-to-image generative models, enhancing the alignment between gener…