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20232026
most citedWhy Do Multi-Agent LLM Systems Fail?

15 citations · 100 across the 85 of their papers we have counts for

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Showing 2023 · cs.CVShow all

5 papers · 2 filters

cs.CV2023★ 3 cited

Efficient Deweather Mixture-of-Experts with Uncertainty-aware Feature-wise Linear Modulation

Rongyu Zhang, Yulin Luo, Jiaming Liu +8

The Mixture-of-Experts (MoE) approach has demonstrated outstanding scalability in multi-task learning including low-level upstream tasks such as concurrent removal of multiple adve…

cs.CV2023

StreamDiffusion: A Pipeline-level Solution for Real-time Interactive Generation

Akio Kodaira, Chenfeng Xu, Toshiki Hazama +8

We introduce StreamDiffusion, a real-time diffusion pipeline designed for interactive image generation. Existing diffusion models are adept at creating images from text or image pr…

cs.CV2023★ 6 cited

CVPR 2023 Text Guided Video Editing Competition

Jay Zhangjie Wu, Xiuyu Li, Difei Gao +17

Humans watch more than a billion hours of video per day. Most of this video was edited manually, which is a tedious process. However, AI-enabled video-generation and video-editing…

cs.CV2023★ 14 cited

Large Language Models are Visual Reasoning Coordinators

Liangyu Chen, Bo Li, Sheng Shen +5

Visual reasoning requires multimodal perception and commonsense cognition of the world. Recently, multiple vision-language models (VLMs) have been proposed with excellent commonsen…

cs.CV2023★ 1 cited

HallE-Control: Controlling Object Hallucination in Large Multimodal Models

Bohan Zhai, Shijia Yang, Chenfeng Xu +4

Current Large Multimodal Models (LMMs) achieve remarkable progress, yet there remains significant uncertainty regarding their ability to accurately apprehend visual details, that i…