works on

From the 1 of 11 linked papers with an AI index.

activity
20242026
collaborators

11 papers

cs.CE2026

ARIES-Mission2: A Zero-Shot Vision-Language-Action Framework for Fast Large-Scale Aerial Mission Generation

Junhao Wei, Yanxiao Li, Haochen Li +8

Multimodal Large Language Models (MLLMs) have shown strong semantic understanding capabilities, but their direct use in low-altitude Unmanned Aerial Vehicle (UAV) mission generatio…

cs.CV2026

Remember-R1: Mitigating Long-Context Visual Forgetting through Reinforcement Learning

Jianmin Chen, Jiaqi Tang, Wei Wei +9

Multimodal large language models (MLLMs) increasingly rely on long chain-of-thought reasoning for complex tasks. However, as reasoning sequences lengthen, models may gradually rely…

cs.CV2026

Read It Back: Pretrained MLLMs Are Zero-Shot Reward Models for Text-to-Image Generation

Runhui Huang, Qihui Zhang, Zhe Liu +3

The paper introduces SpectraReward, a training-free method that uses pretrained multimodal large language models to score generated images by measuring how well the original text p…

cs.CV2026

AlphaGRPO: Unlocking Self-Reflective Multimodal Generation in UMMs via Decompositional Verifiable Reward

Runhui Huang, Jie Wu, Rui Yang +2

In this paper, we propose AlphaGRPO, a novel framework that applies Group Relative Policy Optimization (GRPO) to AR-Diffusion Unified Multimodal Models (UMMs) to enhance multimodal…

cs.CR2026

LITMUS: Benchmarking Behavioral Jailbreaks of LLM Agents in Real OS Environments

Chiyu Zhang, Huiqin Yang, Bendong Jiang +8

The rapid proliferation of LLM-based autonomous agents in real operating system environments introduces a new category of safety risk beyond content safety: behavior jailbreak, whe…

cs.CV2026

Restoration-Oriented Video Frame Interpolation with Region-Distinguishable Priors from SAM

Yan Han, Xiaogang Xu, Yingqi Lin +3

In existing restoration-oriented Video Frame Interpolation (VFI) approaches, the motion estimation between neighboring frames plays a crucial role. However, the estimation accuracy…