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From the 1 of 83 linked papers with an AI index.

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20242026
most citedAI-Assisted Peer Review at Scale: The AAAI-26 AI Review Pilot

1 citations · 1 across the 38 of their papers we have counts for

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cs.CV2026

PlayWorld: Benchmarking World Models with Agent Players over Long-Horizon Objectives

Kaixin Ding, Xi Chen, Minghong Cai +9

Video world models simulate future states conditioned on current observations and user actions. Recent systems have demonstrated impressive video consistency and action controllabi…

cs.CV2026

HyMobileAgent: Data-Environment Co-Scaling for Efficient GUI Agents

Hy Vision Team, Huawen Shen, Zhengyang Tang +20

The paper introduces HyMobileAgent, a vision-native mobile GUI agent that combines large multimodal models with a co-scaling framework for data and environments to enable precise p…

cs.CV2026

Towards Long-horizon Agentic Multimodal Search

Yifan Du, Zikang Liu, Jinbiao Peng +5

Multimodal deep search agents have shown great potential in solving complex tasks by iteratively collecting textual and visual evidence. However, managing the heterogeneous informa…

cs.CV2025

PAL-UI: Planning with Active Look-back for Vision-Based GUI Agents

Zikang Liu, Junyi Li, Wayne Xin Zhao +3

Graphical User Interface (GUI) agents powered by Multimodal Large Language Models (MLLMs) promise human-like interaction with software applications, yet long-horizon tasks remain c…

cs.CV2025

Mini-o3: Scaling Up Reasoning Patterns and Interaction Turns for Visual Search

Xin Lai, Junyi Li, Wei Li +3

Recent advances in large multimodal models have leveraged image-based tools with reinforcement learning to tackle visual problems. However, existing open-source approaches often ex…

cs.CV2025

VisionThink: Smart and Efficient Vision Language Model via Reinforcement Learning

Senqiao Yang, Junyi Li, Xin Lai +3

Recent advancements in vision-language models (VLMs) have improved performance by increasing the number of visual tokens, which are often significantly longer than text tokens. How…