activity
20192026
most citedA Survey of Resource-efficient LLM and Multimodal Foundation Models

32 citations · 44 across the 14 of their papers we have counts for

collaborators
Showing 2026Show all

5 papers · 1 filter

cs.DC2026

AI Infrastructure in Space: How Far Can We Go?

Qing Li, Qiyang Zhang, Daliang Xu +10

Satellites are becoming programmable computing platforms capable of running increasingly demanding AI workloads. This shift raises a systems problem: how can AI services remain dep…

cs.CV2026

Pose-ICL: 3D-Aware In-Context Learning for Pose-Controllable Subject Customization

Xuan Han, Yihao Zhao, Mingyu You

Subject Customization is a foundational task in modern image generation. By providing a few reference images and a text prompt, users can generate images of a specific object in an…

cs.CV2026

Improving Text-Instance Alignment Of Foreground Conditioned Out-Painting Via Customized Concept Embedding

Yihao Zhao, Xuan Han, Bin He +1

To showcase products, merchants often incur substantial costs creating high-quality display images. Foreground Conditioned Outpainting (FCO) meets this demand, allowing users to cr…

cs.DC2026

ARL-Tangram: Unleash the Resource Efficiency in Agentic Reinforcement Learning

Bangjun Xiao, Yihao Zhao, Xiangwei Deng +9

Agentic reinforcement learning (RL) has emerged as a transformative workload in cloud clusters, enabling large language models (LLMs) to solve complex problems through interactions…

cs.CL2026★ 1 cited

MiMo-V2-Flash Technical Report

Core Team, Bangjun Xiao, Bingquan Xia +123

We present MiMo-V2-Flash, a Mixture-of-Experts (MoE) model with 309B total parameters and 15B active parameters, designed for fast, strong reasoning and agentic capabilities. MiMo-…