Cover Image

AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hu, Mengkang, Zhao, Pu, Xu, Can, Sun, Qingfeng, Lou, Jianguang, Lin, Qingwei, Luo, Ping, Rajmohan, Saravan
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

WarriorMath: Enhancing the Mathematical Ability of Large Language Models with a Defect-aware Framework
by: Chen, Yue, et al.
Published: (2025)

WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models
by: Feng, Huawen, et al.
Published: (2024)

WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
by: Luo, Haipeng, et al.
Published: (2023)

HiAgent: Hierarchical Working Memory Management for Solving Long-Horizon Agent Tasks with Large Language Model
by: Hu, Mengkang, et al.
Published: (2024)

Arena Learning: Build Data Flywheel for LLMs Post-training via Simulated Chatbot Arena
by: Luo, Haipeng, et al.
Published: (2024)

API Agents vs. GUI Agents: Divergence and Convergence
by: Zhang, Chaoyun, et al.
Published: (2025)

VEM: Environment-Free Exploration for Training GUI Agent with Value Environment Model
by: Zheng, Jiani, et al.
Published: (2025)

From Reasoning to Answer: Empirical, Attention-Based and Mechanistic Insights into Distilled DeepSeek R1 Models
by: Zhang, Jue, et al.
Published: (2025)

DoVer: Intervention-Driven Auto Debugging for LLM Multi-Agent Systems
by: Ma, Ming, et al.
Published: (2025)

CI-Work: Benchmarking Contextual Integrity in Enterprise LLM Agents
by: Fu, Wenjie, et al.
Published: (2026)

OffSeeker: Online Reinforcement Learning Is Not All You Need for Deep Research Agents
by: Zhou, Yuhang, et al.
Published: (2026)

ExeCoder: Empowering Large Language Models with Executability Representation for Code Translation
by: He, Minghua, et al.
Published: (2025)

Large Language Model-Brained GUI Agents: A Survey
by: Zhang, Chaoyun, et al.
Published: (2024)

Privacy in Action: Towards Realistic Privacy Mitigation and Evaluation for LLM-Powered Agents
by: Wang, Shouju, et al.
Published: (2025)

AXIS: Efficient Human-Agent-Computer Interaction with API-First LLM-Based Agents
by: Lu, Junting, et al.
Published: (2024)

WizardCoder: Empowering Code Large Language Models with Evol-Instruct
by: Luo, Ziyang, et al.
Published: (2023)

LLM Reasoning as Trajectories: Step-Specific Representation Geometry and Correctness Signals
by: Sun, Lihao, et al.
Published: (2026)

Tool-Genesis: A Task-Driven Tool Creation Benchmark for Self-Evolving Language Agent
by: Xia, Bowei, et al.
Published: (2026)

AgentMath: Empowering Mathematical Reasoning for Large Language Models via Tool-Augmented Agent
by: Luo, Haipeng, et al.
Published: (2025)

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models
by: Zheng, Kai, et al.
Published: (2024)

TaskWeaver: A Code-First Agent Framework
by: Qiao, Bo, et al.
Published: (2023)

Tree-Planner: Efficient Close-loop Task Planning with Large Language Models
by: Hu, Mengkang, et al.
Published: (2023)

UFO3: Weaving the Digital Agent Galaxy
by: Zhang, Chaoyun, et al.
Published: (2025)

Contrastive Attribution in the Wild: An Interpretability Analysis of LLM Failures on Realistic Benchmarks
by: Tan, Rongyuan, et al.
Published: (2026)

Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection
by: Liu, Jun, et al.
Published: (2024)

Simulating Environments with Reasoning Models for Agent Training
by: Li, Yuetai, et al.
Published: (2025)

Enabling Autonomic Microservice Management through Self-Learning Agents
by: Yu, Fenglin, et al.
Published: (2025)

SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models
by: Wu, Yi, et al.
Published: (2024)

Navigating the Unknown: A Chat-Based Collaborative Interface for Personalized Exploratory Tasks
by: Peng, Yingzhe, et al.
Published: (2024)

RepoGenesis: Benchmarking End-to-End Microservice Generation from Readme to Repository
by: Peng, Zhiyuan, et al.
Published: (2026)

Text2Grad: Reinforcement Learning from Natural Language Feedback
by: Wang, Hanyang, et al.
Published: (2025)

UFO: A UI-Focused Agent for Windows OS Interaction
by: Zhang, Chaoyun, et al.
Published: (2024)

Pretrain Value, Not Reward: Decoupled Value Policy Optimization
by: Huang, Chenghua, et al.
Published: (2025)

Learning to Refine: Self-Refinement of Parallel Reasoning in LLMs
by: Wang, Qibin, et al.
Published: (2025)

MEETING DELEGATE: Benchmarking LLMs on Attending Meetings on Our Behalf
by: Hu, Lingxiang, et al.
Published: (2025)

PreAct: Prediction Enhances Agent's Planning Ability
by: Fu, Dayuan, et al.
Published: (2024)

UFO2: The Desktop AgentOS
by: Zhang, Chaoyun, et al.
Published: (2025)

Self-Evolved Reward Learning for LLMs
by: Huang, Chenghua, et al.
Published: (2024)

Minerva: A Programmable Memory Test Benchmark for Language Models
by: Xia, Menglin, et al.
Published: (2025)

RuAG: Learned-rule-augmented Generation for Large Language Models
by: Zhang, Yudi, et al.
Published: (2024)