works on

From the 1 of 20 linked papers with an AI index.

collaborators

20 papers

cs.AI2026

Beyond Sequential Interaction: Benchmarking Parallel Execution and Coordination for GUI Agents

Zedong Yu, Qianxing Li, Zhi Gao +8

Graphical user interface (GUI) agents are systems powered by large multimodal models (LMMs). They perceive screen state and execute user instructions through GUI actions such as cl…

cs.CV2026

Fre-Res: Frequency-Residual Video Token Compression for Efficient Video MLLMs

Yigui Feng, Qinglin Wang, Yang Liu +1

The paper introduces Fre-Res, a dual‑track video token compression method for video multimodal large language models that keeps a few high‑fidelity spatial anchor tokens while enco…

cs.CV2026

Taming I2V models for Image HOI Editing: A Cognitive Benchmark and Agentic Self-Correcting Framework

Jiayi Gao, Qingchao Chen, Yuxin Peng +1

Current image editing methods excel at static attributes but fail at complex Human-Object Interactions (HOI), a critical challenge unaddressed by existing benchmarks that conflate…

cs.CV2026

Text as Partial Constraint: Core-Residual Alignment for Robust Vision-Language Learning

Chengzhen Yu, Canran Xiao, Siyuan Ma +1

Vision-language alignment powers open-vocabulary recognition, retrieval, and LVLM grounding, yet natural captions are often underspecified, making similarity brittle and overly con…

cs.RO2026

In-Context Model Predictive Generation: Open-Vocabulary Motion Synthesis from Language Models to Physics

Xiaomeng Fu, Junfan Lin, Yang Liu +4

Synthesizing human motion from textual descriptions is essential for immersive digital applications, yet existing methods face a persistent trade-off between semantic fidelity and…

cs.LG2026

Learning with a Single Rollout via Monte Carlo Pass@k Critic

Fengdi Che, Yang Liu, Lei Yu +4

Estimating token-level advantages in reinforcement learning (RL) for language models remains challenging because scaling up episodic experience collection is expensive. The difficu…