:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Dutao, Liao, Tian
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2605.03989
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Experience as a Compass: Multi-agent RAG with Evolving Orchestration and Agent Prompts
by: Li, Sha, et al.
Published: (2026)

TARSE: Test-Time Adaptation via Retrieval of Skills and Experience for Reasoning Agents
by: Wang, Junda, et al.
Published: (2026)

From Experience to Skill: Multi-Agent Generative Engine Optimization via Reusable Strategy Learning
by: Wu, Beining, et al.
Published: (2026)

AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution
by: Yang, Yutao, et al.
Published: (2026)

SkillFlow: Flow-Driven Recursive Skill Evolution for Agentic Orchestration
by: Zhang, Mingda, et al.
Published: (2026)

From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills
by: Huang, Zisu, et al.
Published: (2026)

Skill-Pro: Learning Reusable Skills from Experience via Non-Parametric PPO for LLM Agents
by: Mi, Qirui, et al.
Published: (2026)

XSkill: Continual Learning from Experience and Skills in Multimodal Agents
by: Jiang, Guanyu, et al.
Published: (2026)

ReCreate: Reasoning and Creating Domain Agents Driven by Experience
by: Hao, Zhezheng, et al.
Published: (2026)

SkillEvolBench: Benchmarking the Evolution from Episodic Experience to Procedural Skills
by: Lei, Yingtie, et al.
Published: (2026)

Experience Compression Spectrum: Unifying Memory, Skills, and Rules in LLM Agents
by: Zhang, Xing, et al.
Published: (2026)

Inferring Pluggable Types with Machine Learning
by: Siddiqui, Kazi Amanul Islam, et al.
Published: (2024)

Retrieval-Augmented LLM Agents: Learning to Learn from Experience
by: Ferraz, Thomas Palmeira, et al.
Published: (2026)

Jenius Agent: Towards Experience-Driven Accuracy Optimization in Real-World Scenarios
by: Xia, Defei, et al.
Published: (2026)

Hierarchical Intent-guided Optimization with Pluggable LLM-Driven Semantics for Session-based Recommendation
by: Chen, Jinpeng, et al.
Published: (2025)

PsychAgent: An Experience-Driven Lifelong Learning Agent for Self-Evolving Psychological Counselor
by: Yang, Yutao, et al.
Published: (2026)

Developing Retrieval Augmented Generation (RAG) based LLM Systems from PDFs: An Experience Report
by: Khan, Ayman Asad, et al.
Published: (2024)

MA-IDS: Multi-Agent RAG Framework for IoT Network Intrusion Detection with an Experience Library
by: Islam, Md Shamimul, et al.
Published: (2026)

EXG: Self-Evolving Agents with Experience Graphs
by: Jin, Yuxin, et al.
Published: (2026)

Group of Skills: Group-Structured Skill Retrieval for Agent Skill Libraries
by: Zeng, Kun, et al.
Published: (2026)

Don't Retrieve, Navigate: Distilling Enterprise Knowledge into Navigable Agent Skills for QA and RAG
by: Sun, Yiqun, et al.
Published: (2026)

Agentic RAG for Software Testing with Hybrid Vector-Graph and Multi-Agent Orchestration
by: Hariharan, Mohanakrishnan, et al.
Published: (2025)

AutoAgent: Evolving Cognition and Elastic Memory Orchestration for Adaptive Agents
by: Wang, Xiaoxing, et al.
Published: (2026)

Evolving-RL: End-to-End Optimization of Experience-Driven Self-Evolving Capability within Agents
by: Fan, Zhiyuan, et al.
Published: (2026)

MME-RAG: Multi-Manager-Expert Retrieval-Augmented Generation for Fine-Grained Entity Recognition in Task-Oriented Dialogues
by: Xue, Liang, et al.
Published: (2025)

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems
by: Hou, Zhipeng, et al.
Published: (2025)

Agentic AI with Orchestrator-Agent Trust: A Modular Visual Classification Framework with Trust-Aware Orchestration and RAG-Based Reasoning
by: Roumeliotis, Konstantinos I., et al.
Published: (2025)

Graph-of-Skills: Dependency-Aware Structural Retrieval for Massive Agent Skills
by: Liu, Dawei, et al.
Published: (2026)

Beyond Experience Retrieval: Learning to Generate Utility-Optimized Structured Experience for Frozen LLMs
by: Li, Xuancheng, et al.
Published: (2026)

H-PRM: A Pluggable Hotword Pre-Retrieval Module for Various Speech Recognition Systems
by: Dai, Huangyu, et al.
Published: (2025)

Scaling Agent Learning via Experience Synthesis
by: Chen, Zhaorun, et al.
Published: (2025)

Which Experiences Are Influential for RL Agents? Efficiently Estimating The Influence of Experiences
by: Hiraoka, Takuya, et al.
Published: (2024)

Experience Transfer for Multimodal LLM Agents in Minecraft Game
by: Li, Chenghao, et al.
Published: (2026)

Style2Code: A Style-Controllable Code Generation Framework with Dual-Modal Contrastive Representation Learning
by: Zhang, Dutao, et al.
Published: (2025)

EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle
by: Wu, Rong, et al.
Published: (2025)

Learning on the Job: An Experience-Driven Self-Evolving Agent for Long-Horizon Tasks
by: Yang, Cheng, et al.
Published: (2025)

SkillRet: A Large-Scale Benchmark for Skill Retrieval in LLM Agents
by: Cho, Hongcheol, et al.
Published: (2026)

MemoryGraft: Persistent Compromise of LLM Agents via Poisoned Experience Retrieval
by: Srivastava, Saksham Sahai, et al.
Published: (2025)

Beyond RAG for Agent Memory: Retrieval by Decoupling and Aggregation
by: Hu, Zhanghao, et al.
Published: (2026)

Structured Linked Data as a Memory Layer for Agent-Orchestrated Retrieval
by: Volpini, Andrea, et al.
Published: (2026)