Efficient Agent Training for Computer Use
Fuente:
arXiv
Saved in:
| Main Authors: | He, Yanheng, Jin, Jiahe, Liu, Pengfei |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Parameter Efficient Instruction Tuning: An Empirical Study
by: He, Pengfei
Published: (2024)
by: He, Pengfei
Published: (2024)
PC Agent: While You Sleep, AI Works -- A Cognitive Journey into Digital World
by: He, Yanheng, et al.
Published: (2024)
by: He, Yanheng, et al.
Published: (2024)
VideoAgentTrek: Computer Use Pretraining from Unlabeled Videos
by: Lu, Dunjie, et al.
Published: (2025)
by: Lu, Dunjie, et al.
Published: (2025)
Learn from Weaknesses: Automated Domain Specialization for Small Computer-Use Agents
by: Kim, Suji, et al.
Published: (2026)
by: Kim, Suji, et al.
Published: (2026)
MegaScience: Pushing the Frontiers of Post-Training Datasets for Science Reasoning
by: Fan, Run-Ze, et al.
Published: (2025)
by: Fan, Run-Ze, et al.
Published: (2025)
Scaling Agents for Computer Use
by: Gonzalez-Pumariega, Gonzalo, et al.
Published: (2025)
by: Gonzalez-Pumariega, Gonzalo, et al.
Published: (2025)
Do Efficient Transformers Really Save Computation?
by: Yang, Kai, et al.
Published: (2024)
by: Yang, Kai, et al.
Published: (2024)
Memory-Efficient LLM Training with Online Subspace Descent
by: Liang, Kaizhao, et al.
Published: (2024)
by: Liang, Kaizhao, et al.
Published: (2024)
SABER: Switchable and Balanced Training for Efficient LLM Reasoning
by: Zhao, Kai, et al.
Published: (2025)
by: Zhao, Kai, et al.
Published: (2025)
AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning
by: Zhang, Jianguo, et al.
Published: (2024)
by: Zhang, Jianguo, et al.
Published: (2024)
PhoneWorld: Scaling Phone-Use Agent Environments
by: Tang, Zhengyang, et al.
Published: (2026)
by: Tang, Zhengyang, et al.
Published: (2026)
Training Proactive and Personalized LLM Agents
by: Sun, Weiwei, et al.
Published: (2025)
by: Sun, Weiwei, et al.
Published: (2025)
Training a Generally Curious Agent
by: Tajwar, Fahim, et al.
Published: (2025)
by: Tajwar, Fahim, et al.
Published: (2025)
AgentEvolver: Towards Efficient Self-Evolving Agent System
by: Zhai, Yunpeng, et al.
Published: (2025)
by: Zhai, Yunpeng, et al.
Published: (2025)
Agent Lumos: Unified and Modular Training for Open-Source Language Agents
by: Yin, Da, et al.
Published: (2023)
by: Yin, Da, et al.
Published: (2023)
Task-Stratified Knowledge Scaling Laws for Post-Training Quantized Large Language Models
by: Zhou, Chenxi, et al.
Published: (2025)
by: Zhou, Chenxi, et al.
Published: (2025)
AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning
by: Xi, Zhiheng, et al.
Published: (2025)
by: Xi, Zhiheng, et al.
Published: (2025)
Training Language Models to Explain Their Own Computations
by: Li, Belinda Z., et al.
Published: (2025)
by: Li, Belinda Z., et al.
Published: (2025)
Agent S2: A Compositional Generalist-Specialist Framework for Computer Use Agents
by: Agashe, Saaket, et al.
Published: (2025)
by: Agashe, Saaket, et al.
Published: (2025)
From Signal Degradation to Computation Collapse: Uncovering the Two Failure Modes of LLM Quantization
by: Zhou, Chenxi, et al.
Published: (2026)
by: Zhou, Chenxi, et al.
Published: (2026)
UserRL: Training Interactive User-Centric Agent via Reinforcement Learning
by: Qian, Cheng, et al.
Published: (2025)
by: Qian, Cheng, et al.
Published: (2025)
How to Train Data-Efficient LLMs
by: Sachdeva, Noveen, et al.
Published: (2024)
by: Sachdeva, Noveen, et al.
Published: (2024)
Athena: Efficient Block-Wise Post-Training Quantization for Large Language Models Using Second-Order Matrix Derivative Information
by: Wang, Yanshu, et al.
Published: (2024)
by: Wang, Yanshu, et al.
Published: (2024)
OpenELM: An Efficient Language Model Family with Open Training and Inference Framework
by: Mehta, Sachin, et al.
Published: (2024)
by: Mehta, Sachin, et al.
Published: (2024)
AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents
by: Ma, Chang, et al.
Published: (2024)
by: Ma, Chang, et al.
Published: (2024)
OS Agents: A Survey on MLLM-based Agents for General Computing Devices Use
by: Hu, Xueyu, et al.
Published: (2025)
by: Hu, Xueyu, et al.
Published: (2025)
Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models
by: Cui, Yingqian, et al.
Published: (2025)
by: Cui, Yingqian, et al.
Published: (2025)
EfficientQAT: Efficient Quantization-Aware Training for Large Language Models
by: Chen, Mengzhao, et al.
Published: (2024)
by: Chen, Mengzhao, et al.
Published: (2024)
On Evaluating LLM Alignment by Evaluating LLMs as Judges
by: Liu, Yixin, et al.
Published: (2025)
by: Liu, Yixin, et al.
Published: (2025)
Learning to Reason Efficiently with A* Post-Training
by: Opedal, Andreas, et al.
Published: (2026)
by: Opedal, Andreas, et al.
Published: (2026)
Safe, or Simply Incapable? Rethinking Safety Evaluation for Phone-Use Agents
by: Tang, Zhengyang, et al.
Published: (2026)
by: Tang, Zhengyang, et al.
Published: (2026)
ReAct Meets ActRe: When Language Agents Enjoy Training Data Autonomy
by: Yang, Zonghan, et al.
Published: (2024)
by: Yang, Zonghan, et al.
Published: (2024)
SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training
by: Huang, Tianjin, et al.
Published: (2025)
by: Huang, Tianjin, et al.
Published: (2025)
RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models
by: Jin, Zhuoran, et al.
Published: (2024)
by: Jin, Zhuoran, et al.
Published: (2024)
Just Do It!? Computer-Use Agents Exhibit Blind Goal-Directedness
by: Shayegani, Erfan, et al.
Published: (2025)
by: Shayegani, Erfan, et al.
Published: (2025)
SpecForge: A Flexible and Efficient Open-Source Training Framework for Speculative Decoding
by: Li, Shenggui, et al.
Published: (2026)
by: Li, Shenggui, et al.
Published: (2026)
Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training
by: Zhuang, Yuchen, et al.
Published: (2025)
by: Zhuang, Yuchen, et al.
Published: (2025)
Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models
by: Zhang, Jun, et al.
Published: (2025)
by: Zhang, Jun, et al.
Published: (2025)
Scaling with Collapse: Efficient and Predictable Training of LLM Families
by: Bergsma, Shane, et al.
Published: (2025)
by: Bergsma, Shane, et al.
Published: (2025)
Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models
by: Schröder, Christopher, et al.
Published: (2024)
by: Schröder, Christopher, et al.
Published: (2024)
Similar Items
-
Parameter Efficient Instruction Tuning: An Empirical Study
by: He, Pengfei
Published: (2024) -
PC Agent: While You Sleep, AI Works -- A Cognitive Journey into Digital World
by: He, Yanheng, et al.
Published: (2024) -
VideoAgentTrek: Computer Use Pretraining from Unlabeled Videos
by: Lu, Dunjie, et al.
Published: (2025) -
Learn from Weaknesses: Automated Domain Specialization for Small Computer-Use Agents
by: Kim, Suji, et al.
Published: (2026) -
MegaScience: Pushing the Frontiers of Post-Training Datasets for Science Reasoning
by: Fan, Run-Ze, et al.
Published: (2025)