Cover Image

CUA-Skill: Develop Skills for Computer Using Agent

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Tianyi, Li, Yinheng, Solodko, Michael, Wang, Sen, Jiang, Nan, Cui, Tingyuan, Hao, Junheng, Ko, Jongwoo, Abdali, Sara, Xu, Leon, Zheng, Suzhen, Fan, Hao, Cameron, Pashmina, Wagle, Justin, Koishida, Kazuhito
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AppSelectBench: Application-Level Tool Selection Benchmark
by: Chen, Tianyi, et al.
Published: (2025)

Data Generation Using Large Language Models for Text Classification: An Empirical Case Study
by: Li, Yinheng, et al.
Published: (2024)

Instruction Agent: Enhancing Agent with Expert Demonstration
by: Li, Yinheng, et al.
Published: (2025)

Hierarchical Self-Attention: Generalizing Neural Attention Mechanics to Multi-Scale Problems
by: Amizadeh, Saeed, et al.
Published: (2025)

Scaling Reasoning Efficiently via Relaxed On-Policy Distillation
by: Ko, Jongwoo, et al.
Published: (2026)

Self-reflecting Large Language Models: A Hegelian Dialectical Approach
by: Abdali, Sara, et al.
Published: (2025)

Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale
by: Bonatti, Rogerio, et al.
Published: (2024)

ScreenSearch: Uncertainty-Aware OS Exploration
by: Solodko, Michael, et al.
Published: (2026)

WinClick: GUI Grounding with Multimodal Large Language Models
by: Hui, Zheng, et al.
Published: (2025)

VideoWebArena: Evaluating Long Context Multimodal Agents with Video Understanding Web Tasks
by: Jang, Lawrence, et al.
Published: (2024)

IntentCUA: Learning Intent-level Representations for Skill Abstraction and Multi-Agent Planning in Computer-Use Agents
by: Lee, Seoyoung, et al.
Published: (2026)

WINA: Weight Informed Neuron Activation for Accelerating Large Language Model Inference
by: Chen, Sihan, et al.
Published: (2025)

StableQAT: Stable Quantization-Aware Training at Ultra-Low Bitwidths
by: Chen, Tianyi, et al.
Published: (2026)

PRO-CUA: Process-Reward Optimization for Computer Use Agents
by: He, Yifei, et al.
Published: (2026)

CUA-Gym: Scaling Verifiable Training Environments and Tasks for Computer-Use Agents
by: Wang, Bowen, et al.
Published: (2026)

Zero-Shot Text-to-Speech from Continuous Text Streams
by: Dang, Trung, et al.
Published: (2024)

OpenCUA: Open Foundations for Computer-Use Agents
by: Wang, Xinyuan, et al.
Published: (2025)

Single-channel speech enhancement using learnable loss mixup
by: Chang, Oscar, et al.
Published: (2023)

Learned Image Compression with Text Quality Enhancement
by: Lai, Chih-Yu, et al.
Published: (2024)

LiteCUA: Computer as MCP Server for Computer-Use Agent on AIOS
by: Mei, Kai, et al.
Published: (2025)

Weakly-supervised Audio Separation via Bi-modal Semantic Similarity
by: Mahmud, Tanvir, et al.
Published: (2024)

LiveSpeech: Low-Latency Zero-shot Text-to-Speech via Autoregressive Modeling of Audio Discrete Codes
by: Dang, Trung, et al.
Published: (2024)

EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents
by: Ju, Ruofei, et al.
Published: (2026)

CUA-Suite: Massive Human-annotated Video Demonstrations for Computer-Use Agents
by: Jian, Xiangru, et al.
Published: (2026)

UltraCUA: A Foundation Model for Computer Use Agents with Hybrid Action
by: Yang, Yuhao, et al.
Published: (2025)

Organizing, Orchestrating, and Benchmarking Agent Skills at Ecosystem Scale
by: Li, Hao, et al.
Published: (2026)

uaMix-MAE: Efficient Tuning of Pretrained Audio Transformers with Unsupervised Audio Mixtures
by: Tabassum, Afrina, et al.
Published: (2024)

ConsistencyTTA: Accelerating Diffusion-Based Text-to-Audio Generation with Consistency Distillation
by: Bai, Yatong, et al.
Published: (2023)

ScaleCUA: Scaling Open-Source Computer Use Agents with Cross-Platform Data
by: Liu, Zhaoyang, et al.
Published: (2025)

ToolCUA: Towards Optimal GUI-Tool Path Orchestration for Computer Use Agents
by: Hu, Xuhao, et al.
Published: (2026)

A11y-CUA Dataset: Characterizing the Accessibility Gap in Computer Use Agents
by: Mohanbabu, Ananya Gubbi, et al.
Published: (2026)

AnySkill: Learning Open-Vocabulary Physical Skill for Interactive Agents
by: Cui, Jieming, et al.
Published: (2024)

SkillGenBench: Benchmarking Skill Generation Pipelines for LLM Agents
by: Zhou, Yifan, et al.
Published: (2026)

SkillScope: Toward Fine-Grained Least-Privilege Enforcement for Agent Skills
by: Wu, Jiangrong, et al.
Published: (2026)

Skill-SD: Skill-Conditioned Self-Distillation for Multi-turn LLM Agents
by: Wang, Hao, et al.
Published: (2026)

DistiLLM: Towards Streamlined Distillation for Large Language Models
by: Ko, Jongwoo, et al.
Published: (2024)

SkillGraph: Graph Foundation Priors for LLM Agent Tool Sequence Recommendation
by: Liu, Hao, et al.
Published: (2026)

EvoCUA: Evolving Computer Use Agents via Learning from Scalable Synthetic Experience
by: Xue, Taofeng, et al.
Published: (2026)

How to Augment Language Skills
by: Pym, Anthony, et al.
Published: (2024)

MoLoRA: Composable Specialization via Per-Token Adapter Routing
by: Shah, Shrey, et al.
Published: (2026)