Cover Image

Remember the Decision, Not the Description: A Rate-Distortion Framework for Agent Memory

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zou, Mingxi, Guo, Zhihan, Liang, Langzhang, Wang, Zhuo, Wang, Qifan, Wen, Qingsong, King, Irwin, Qu, Lizhen, Xu, Zenglin
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DARC: Disagreement-Aware Alignment via Risk-Constrained Decoding
by: Zou, Mingxi, et al.
Published: (2026)

Guideline Forest: Retrieval-Augmented Reasoning with Branching Experience-Induced Guidelines
by: Chen, Jiaxiang, et al.
Published: (2025)

FinHEAR: Human Expertise and Adaptive Risk-Aware Temporal Reasoning for Financial Decision-Making
by: Chen, Jiaxiang, et al.
Published: (2025)

Simple Yet Effective: Extracting Private Data Across Clients in Federated Fine-Tuning of Large Language Models
by: Hu, Yingqi, et al.
Published: (2025)

CoTEvol: Self-Evolving Chain-of-Thoughts for Data Synthesis in Mathematical Reasoning
by: Wang, Zhuo, et al.
Published: (2026)

FewFedPIT: Towards Privacy-preserving and Few-shot Federated Instruction Tuning
by: Zhang, Zhuo, et al.
Published: (2024)

PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equations
by: Qi, Shiyi, et al.
Published: (2024)

Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification
by: Liang, Langzhang, et al.
Published: (2025)

Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs
by: Liang, Langzhang, et al.
Published: (2024)

From Implicit Exploration to Structured Reasoning: Leveraging Guideline and Refinement for LLMs
by: Chen, Jiaxiang, et al.
Published: (2025)

On the Necessity of Collaboration for Online Model Selection with Decentralized Data
by: Li, Junfan, et al.
Published: (2024)

Position: LLMs Can be Good Tutors in English Education
by: Ye, Jingheng, et al.
Published: (2025)

FinEvo: From Isolated Backtests to Ecological Market Games for Multi-Agent Financial Strategy Evolution
by: Zou, Mingxi, et al.
Published: (2026)

Choosing How to Remember: Adaptive Memory Structures for LLM Agents
by: Lu, Mingfei, et al.
Published: (2026)

LineageFlow: Flow Matching for High-Fidelity Family-Aware Protein Sequence Generation
by: Liang, Langzhang, et al.
Published: (2026)

Can we only use guideline instead of shot in prompt?
by: Chen, Jiaxiang, et al.
Published: (2024)

Advocating for the Silent: Enhancing Federated Generalization for Non-Participating Clients
by: Wu, Zheshun, et al.
Published: (2023)

Decision Trees That Remember: Gradient-Based Learning of Recurrent Decision Trees with Memory
by: Marton, Sascha, et al.
Published: (2025)

ADRA-Bank: A Modular Benchmark for Academic Deep Research Agents
by: Guo, Zhihan, et al.
Published: (2025)

A Theoretical Framework for Rate-Distortion Limits in Learned Image Compression
by: Wang, Changshuo, et al.
Published: (2026)

IDInit: A Universal and Stable Initialization Method for Neural Network Training
by: Pan, Yu, et al.
Published: (2025)

A Multi-Agent Framework with Automated Decision Rule Optimization for Cross-Domain Misinformation Detection
by: Li, Hui, et al.
Published: (2025)

Enhanced Federated Optimization: Adaptive Unbiased Client Sampling with Reduced Variance
by: Zeng, Dun, et al.
Published: (2023)

Remember and Recall: Associative-Memory-based Trajectory Prediction
by: Guo, Hang, et al.
Published: (2024)

Rate-Distortion-Perception Theory for the Quadratic Wasserstein Space
by: Qu, Xiqiang, et al.
Published: (2025)

From General to Targeted Rewards: Surpassing GPT-4 in Open-Ended Long-Context Generation
by: Guo, Zhihan, et al.
Published: (2025)

A Synonymous Variational Perspective on the Rate-Distortion-Perception Tradeoff
by: Liang, Zijian, et al.
Published: (2026)

Dynamic Mixture of Latent Memories for Self-Evolving Agents
by: Yu, Dianzhi, et al.
Published: (2026)

On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond
by: Zeng, Dun, et al.
Published: (2023)

Intelligent Cross-Organizational Process Mining: A Survey and New Perspectives
by: Yang, Yiyuan, et al.
Published: (2024)

Rate-distortion Theory with Lower Semi-continuous Distortion on Noncompact Alphabets
by: Zou, Jiayang, et al.
Published: (2026)

FedCVD: The First Real-World Federated Learning Benchmark on Cardiovascular Disease Data
by: Zhang, Yukun, et al.
Published: (2024)

Vietnam Memorial. America Remembers
Published: (1985)

Memory and Perception: Remembering Snowflake
by: Jordi FERNÁNDEZ
Published: (2006)

Remember Me, Refine Me: A Dynamic Procedural Memory Framework for Experience-Driven Agent Evolution
by: Cao, Zouying, et al.
Published: (2025)

Learning How to Remember: A Meta-Cognitive Management Method for Structured and Transferable Agent Memory
by: Liang, Sirui, et al.
Published: (2026)

A Rate-Distortion Framework for Summarization
by: Arda, Enes, et al.
Published: (2025)

Remember to Forget: Gated Adaptive Positional Encoding
by: Ali, Riccardo, et al.
Published: (2026)

Time Series Analysis for Education: Methods, Applications, and Future Directions
by: Mao, Shengzhong, et al.
Published: (2024)

See and Remember: A Multimodal Agent for Web Traversal
by: Wang, Xinjun, et al.
Published: (2026)