Copertina

ContextWeaver: Selective and Dependency-Structured Memory Construction for LLM Agents

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wu, Yating, Zhang, Yuhao, Ghosh, Sayan, Basu, Sourya, Deoras, Anoop, Huan, Jun, Gupta, Gaurav
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Lightweight reranking for language model generations
di: Jain, Siddhartha, et al.
Pubblicazione: (2023)

Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam Generation
di: Guinet, Gauthier, et al.
Pubblicazione: (2024)

Efficient Model-Agnostic Multi-Group Equivariant Networks
di: Baltaji, Razan, et al.
Pubblicazione: (2023)

Lossless Token Sequence Compression via Meta-Tokens
di: Harvill, John, et al.
Pubblicazione: (2025)

ExpWeaver: LLM Agents Learn from Experience via Latent RAG
di: Feng, Tao, et al.
Pubblicazione: (2026)

On the Structural Memory of LLM Agents
di: Zeng, Ruihong, et al.
Pubblicazione: (2024)

Structural Code Search using Natural Language Queries
di: Limpanukorn, Ben, et al.
Pubblicazione: (2025)

RCR-Router: Efficient Role-Aware Context Routing for Multi-Agent LLM Systems with Structured Memory
di: Liu, Jun, et al.
Pubblicazione: (2025)

Evaluating Memory Structure in LLM Agents
di: Shutova, Alina, et al.
Pubblicazione: (2026)

MemoryCD: Benchmarking Long-Context User Memory of LLM Agents for Lifelong Cross-Domain Personalization
di: Zhang, Weizhi, et al.
Pubblicazione: (2026)

Look Back to Reason Forward: Revisitable Memory for Long-Context LLM Agents
di: Shi, Yaorui, et al.
Pubblicazione: (2025)

WebWeaver: Structuring Web-Scale Evidence with Dynamic Outlines for Open-Ended Deep Research
di: Li, Zijian, et al.
Pubblicazione: (2025)

MemWeaver: Weaving Hybrid Memories for Traceable Long-Horizon Agentic Reasoning
di: Ye, Juexiang, et al.
Pubblicazione: (2026)

Collage: Light-Weight Low-Precision Strategy for LLM Training
di: Yu, Tao, et al.
Pubblicazione: (2024)

MemWeaver: A Hierarchical Memory from Textual Interactive Behaviors for Personalized Generation
di: Yu, Shuo, et al.
Pubblicazione: (2025)

Unlocking the Power of LLM Uncertainty for Active In-Context Example Selection
di: Huang, Hsiu-Yuan, et al.
Pubblicazione: (2024)

OCR-Memory: Optical Context Retrieval for Long-Horizon Agent Memory
di: Li, Jinze, et al.
Pubblicazione: (2026)

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

Fewer Truncations Improve Language Modeling
di: Ding, Hantian, et al.
Pubblicazione: (2024)

G-RepsNet: A Fast and General Construction of Equivariant Networks for Arbitrary Matrix Groups
di: Basu, Sourya, et al.
Pubblicazione: (2024)

Causal Intervention-Based Memory Selection for Long-Horizon LLM Agents
di: Srivastava, Saksham Sahai
Pubblicazione: (2026)

On Memory Construction and Retrieval for Personalized Conversational Agents
di: Pan, Zhuoshi, et al.
Pubblicazione: (2025)

FutureWeaver: Planning Test-Time Compute for Multi-Agent Systems with Modularized Collaboration
di: Jung, Dongwon, et al.
Pubblicazione: (2025)

LLM In-Context Recall is Prompt Dependent
di: Machlab, Daniel, et al.
Pubblicazione: (2024)

Logic-Scaffolding: Personalized Aspect-Instructed Recommendation Explanation Generation using LLMs
di: Rahdari, Behnam, et al.
Pubblicazione: (2023)

Tool-Call Dependency Structure is Linearly Decodable in LLM Agent Residual Streams
di: Sun, Tianda, et al.
Pubblicazione: (2026)

Misconfidence-based Demonstration Selection for LLM In-Context Learning
di: Xu, Shangqing, et al.
Pubblicazione: (2024)

ExpGraph: Model-Agnostic Experience Learning with Graph-Structured Memory for LLM Agents
di: Feng, Tao, et al.
Pubblicazione: (2026)

Context Matters: Pushing the Boundaries of Open-Ended Answer Generation with Graph-Structured Knowledge Context
di: Banerjee, Somnath, et al.
Pubblicazione: (2024)

LLM-Based Support for Diabetes Diagnosis: Opportunities, Scenarios, and Challenges with GPT-5
di: Gupta, Gaurav Kumar, et al.
Pubblicazione: (2025)

In Agents We Trust, but Who Do Agents Trust? Latent Source Preferences Steer LLM Generations
di: Khan, Mohammad Aflah, et al.
Pubblicazione: (2026)

From Experience to Strategy: Empowering LLM Agents with Trainable Graph Memory
di: Xia, Siyu, et al.
Pubblicazione: (2025)

MemGuide: Intent-Driven Memory Selection for Goal-Oriented Multi-Session LLM Agents
di: Du, Yiming, et al.
Pubblicazione: (2025)

To Know is to Construct: Schema-Constrained Generation for Agent Memory
di: Zheng, Lei, et al.
Pubblicazione: (2026)

Unified Context Evolution for LLM Agents
di: Zhu, Zixuan, et al.
Pubblicazione: (2026)

MemInsight: Autonomous Memory Augmentation for LLM Agents
di: Salama, Rana, et al.
Pubblicazione: (2025)

Federated In-Context LLM Agent Learning
di: Wu, Panlong, et al.
Pubblicazione: (2024)

Empowering Multi-Turn Tool-Integrated Agentic Reasoning with Group Turn Policy Optimization
di: Ding, Yifeng, et al.
Pubblicazione: (2025)

Zero-Shot Grammar Competency Estimation Using Large Language Model Generated Pseudo Labels
di: Das, Sourya Dipta, et al.
Pubblicazione: (2025)

Compare without Despair: Reliable Preference Evaluation with Generation Separability
di: Ghosh, Sayan, et al.
Pubblicazione: (2024)