works on

From the 1 of 141 linked papers with an AI index.

activity
20242026
collaborators
Showing cs.AIShow all

10 papers · 1 filter

cs.AI2026

A Survey on Foundations and Frontiers of Multimodal Agentic Frameworks: Techniques and Applications

Neel Mokaria, Rishie Raj, Dheeraj Baiju +13

Advances in large language models (LLMs) have fueled a wave of research into agency: the ability to reason, plan, and act. This effort has produced agentic frameworks that orchestr…

cs.AI2026

ReGRPO: Reflection-Augmented Policy Optimization for Tool-Using Agents

Binjie Zhang, Mike Zheng Shou

Tool-augmented vision-language models (VLMs) can solve multimodal, multi-step tasks by calling external tools, yet they remain fragile in practice. Existing works have two common g…

cs.AI2026

Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond

Meng Chu, Xuan Billy Zhang, Kevin Qinghong Lin +47

As AI systems move from generating text to accomplishing goals through sustained interaction, the ability to model environment dynamics becomes a central bottleneck. Agents that ma…

cs.AI2026

WorldGUI: An Interactive Benchmark for Desktop GUI Automation from Any Starting Point

Henry Hengyuan Zhao, Kaiming Yang, Wendi Yu +2

Recent progress in GUI agents has substantially improved visual grounding, yet robust planning remains challenging, particularly when the environment deviates from a canonical init…

cs.AI2025

AUTO-Explorer: Automated Data Collection for GUI Agent

Xiangwu Guo, Difei Gao, Mike Zheng Shou

Recent advancements in GUI agents have significantly expanded their ability to interpret natural language commands to manage software interfaces. However, acquiring GUI data remain…

cs.AI2025

Think or Not? Selective Reasoning via Reinforcement Learning for Vision-Language Models

Jiaqi Wang, Kevin Qinghong Lin, James Cheng +1

Reinforcement Learning (RL) has proven to be an effective post-training strategy for enhancing reasoning in vision-language models (VLMs). Group Relative Policy Optimization (GRPO)…