:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Su, Hongyuan, Zheng, Yu, Li, Yong
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	https://arxiv.org/abs/2602.02597
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

In-Context Multi-Objective Optimization
por: Zhang, Xinyu, et al.
Publicado: (2025)

Long Context In-Context Compression by Getting to the Gist of Gisting
por: Petrov, Aleksandar, et al.
Publicado: (2025)

Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models
por: Zhang, Qizheng, et al.
Publicado: (2025)

Context Learning for Multi-Agent Discussion
por: Hua, Xingyuan, et al.
Publicado: (2026)

Compressing Many-Shots in In-Context Learning
por: Khatri, Devvrit, et al.
Publicado: (2025)

Challenge on Optimization of Context Collection for Code Completion
por: Ustalov, Dmitry, et al.
Publicado: (2025)

AgentGA: Evolving Code Solutions in Agent-Seed Space
por: Tan, David Y. Y., et al.
Publicado: (2026)

Large-scale Urban Facility Location Selection with Knowledge-informed Reinforcement Learning
por: Su, Hongyuan, et al.
Publicado: (2024)

MELODI: Exploring Memory Compression for Long Contexts
por: Chen, Yinpeng, et al.
Publicado: (2024)

Context Tuning for In-Context Optimization
por: Lu, Jack, et al.
Publicado: (2025)

On Problems of Implicit Context Compression for Software Engineering Agents
por: Gelvan, Kirill, et al.
Publicado: (2026)

AgentFold: Long-Horizon Web Agents with Proactive Context Management
por: Ye, Rui, et al.
Publicado: (2025)

Graph of Agents: Principled Long Context Modeling by Emergent Multi-Agent Collaboration
por: Joo, Taejong, et al.
Publicado: (2025)

Self-Evolving Recommendation System: End-To-End Autonomous Model Optimization With LLM Agents
por: Wang, Haochen, et al.
Publicado: (2026)

Context and Diversity Matter: The Emergence of In-Context Learning in World Models
por: Wang, Fan, et al.
Publicado: (2025)

Reflective Context Learning: Studying the Optimization Primitives of Context Space
por: Vassilyev, Nikita, et al.
Publicado: (2026)

Context-aware Diversity Enhancement for Neural Multi-Objective Combinatorial Optimization
por: Lu, Yongfan, et al.
Publicado: (2024)

Training Long-Context LLMs Efficiently via Chunk-wise Optimization
por: Li, Wenhao, et al.
Publicado: (2025)

MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent
por: Yu, Hongli, et al.
Publicado: (2025)

A Survey on Context-Aware Multi-Agent Systems: Techniques, Challenges and Future Directions
por: Du, Hung, et al.
Publicado: (2024)

AgentEvolver: Towards Efficient Self-Evolving Agent System
por: Zhai, Yunpeng, et al.
Publicado: (2025)

Provable and Practical In-Context Policy Optimization for Self-Improvement
por: Yu, Tianrun, et al.
Publicado: (2026)

Beyond Single-Agent Alignment: Preventing Context-Fragmented Violations in Multi-Agent Systems
por: Wu, Jie, et al.
Publicado: (2026)

Learning to Solve and Optimize by Evolving Code
por: Semmelrock, Veronika, et al.
Publicado: (2026)

Agent-Omit: Adaptive Context Omission for Efficient LLM Agents
por: Ning, Yansong, et al.
Publicado: (2026)

SEARL: Joint Optimization of Policy and Tool Graph Memory for Self-Evolving Agents
por: Feng, Xinshun, et al.
Publicado: (2026)

PEEK: Context Map as an Orientation Cache for Long-Context LLM Agents
por: Gu, Zhuohan, et al.
Publicado: (2026)

EvolveMem:Self-Evolving Memory Architecture via AutoResearch for LLM Agents
por: Liu, Jiaqi, et al.
Publicado: (2026)

EVOLvE: Evaluating and Optimizing LLMs For In-Context Exploration
por: Nie, Allen, et al.
Publicado: (2024)

In-Context Black-Box Optimization with Unreliable Feedback
por: Blumer, Nicolas Samuel, et al.
Publicado: (2026)

Learning Evolving Latent Strategies for Multi-Agent Language Systems without Model Fine-Tuning
por: Tang, Wenlong
Publicado: (2025)

No Mean Feat: Simple, Strong Baselines for Context Compression
por: Feldman, Yair, et al.
Publicado: (2025)

In-Context Prompting Obsoletes Agent Orchestration for Procedural Tasks
por: Dennis, Simon, et al.
Publicado: (2026)

Efficient On-Device Agents via Adaptive Context Management
por: Vijayvargiya, Sanidhya, et al.
Publicado: (2025)

Learning Game-Playing Agents with Generative Code Optimization
por: Kuang, Zhiyi, et al.
Publicado: (2025)

Optimizing Context-Enhanced Relational Joins
por: Sanca, Viktor, et al.
Publicado: (2023)

APEX: Autonomous Policy Exploration for Self-Evolving LLM Agents
por: Li, Yibo, et al.
Publicado: (2026)

Context Distillation as Latent Memory Management
por: Zheng, Ziyang, et al.
Publicado: (2026)

Out-of-Domain Intent Detection Considering Multi-Turn Dialogue Contexts
por: Lang, Hao, et al.
Publicado: (2023)

Are Large Language Models In-Context Graph Learners?
por: Li, Jintang, et al.
Publicado: (2025)