Imagen de Portada

A Framework for Inference Inspired by Human Memory Mechanisms

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zeng, Xiangyu, Lin, Jie, Hu, Piao, Huang, Ruizheng, Zhang, Zhicheng
Formato:	Preprint
Publicado:	2023
Materias:	Machine Learning Artificial Intelligence Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Human-Inspired Memory Architecture for LLM Agents
por: Kerestecioglu, Doga, et al.
Publicado: (2026)

ComoRAG: A Cognitive-Inspired Memory-Organized RAG for Stateful Long Narrative Reasoning
por: Wang, Juyuan, et al.
Publicado: (2025)

Mnemosyne: An Unsupervised, Human-Inspired Long-Term Memory Architecture for Edge-Based LLMs
por: Jonelagadda, Aneesh, et al.
Publicado: (2025)

Causal Inference for Human-Language Model Collaboration
por: Zhang, Bohan, et al.
Publicado: (2024)

FOREVER: Forgetting Curve-Inspired Memory Replay for Language Model Continual Learning
por: Feng, Yujie, et al.
Publicado: (2026)

Human Inspired Progressive Alignment and Comparative Learning for Grounded Word Acquisition
por: Bao, Yuwei, et al.
Publicado: (2023)

MOM: Memory-Efficient Offloaded Mini-Sequence Inference for Long Context Language Models
por: Zhang, Junyang, et al.
Publicado: (2025)

Momentum Streams for Optimizer-Inspired Transformers
por: Gai, Jingchu, et al.
Publicado: (2026)

LycheeCluster: Efficient Long-Context Inference with Structure-Aware Chunking and Hierarchical KV Indexing
por: Li, Dongfang, et al.
Publicado: (2026)

Elements of World Knowledge (EWoK): A Cognition-Inspired Framework for Evaluating Basic World Knowledge in Language Models
por: Ivanova, Anna A., et al.
Publicado: (2024)

Towards Unified Alignment Between Agents, Humans, and Environment
por: Yang, Zonghan, et al.
Publicado: (2024)

ME-Switch: A Memory-Efficient Expert Switching Framework for Large Language Models
por: Liu, Jing, et al.
Publicado: (2024)

HiCI: Hierarchical Construction-Integration for Long-Context Attention
por: Zeng, Xiangyu, et al.
Publicado: (2026)

LLM in a flash: Efficient Large Language Model Inference with Limited Memory
por: Alizadeh, Keivan, et al.
Publicado: (2023)

Brain-Inspired Two-Stage Approach: Enhancing Mathematical Reasoning by Imitating Human Thought Processes
por: Chen, Yezeng, et al.
Publicado: (2024)

DiagnoLLM: A Hybrid Bayesian Neural Language Framework for Interpretable Disease Diagnosis
por: Xu, Bowen, et al.
Publicado: (2025)

LOLAMEME: Logic, Language, Memory, Mechanistic Framework
por: Desai, Jay, et al.
Publicado: (2024)

Vidur: A Large-Scale Simulation Framework For LLM Inference
por: Agrawal, Amey, et al.
Publicado: (2024)

The Past Is Not Past: Memory-Enhanced Dynamic Reward Shaping
por: Liu, Yang, et al.
Publicado: (2026)

AQUA: Attention via QUery mAgnitudes for Memory and Compute Efficient Inference in LLMs
por: S, Santhosh G, et al.
Publicado: (2025)

Memory-efficient Energy-adaptive Inference of Pre-Trained Models on Batteryless Embedded Systems
por: Farina, Pietro, et al.
Publicado: (2024)

A Quantum Inspired Variational Kernel and Explainable AI Framework for Cross Region Solar and Wind Energy Forecasting
por: Manjunath, Pavan, et al.
Publicado: (2026)

Probing the Limits of Compressive Memory: A Study of Infini-Attention in Small-Scale Pretraining
por: Huang, Ruizhe, et al.
Publicado: (2025)

Pyramid MoA: A Probabilistic Framework for Cost-Optimized Anytime Inference
por: Khaled, Arindam
Publicado: (2026)

HelpSteer3: Human-Annotated Feedback and Edit Data to Empower Inference-Time Scaling in Open-Ended General-Domain Tasks
por: Wang, Zhilin, et al.
Publicado: (2025)

FineSteer: A Unified Framework for Fine-Grained Inference-Time Steering in Large Language Models
por: Weng, Zixuan, et al.
Publicado: (2026)

Towards Real-world Human Behavior Simulation: Benchmarking Large Language Models on Long-horizon, Cross-scenario, Heterogeneous Behavior Traces
por: Chen, Jiawei, et al.
Publicado: (2026)

Archon: An Architecture Search Framework for Inference-Time Techniques
por: Saad-Falcon, Jon, et al.
Publicado: (2024)

Cognitively-Inspired Episodic Memory Architectures for Accurate and Efficient Character AI
por: Gonzalez, Rafael Arias, et al.
Publicado: (2025)

Private Language Models via Truncated Laplacian Mechanism
por: Huang, Tianhao, et al.
Publicado: (2024)

Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment
por: Ding, Qijie, et al.
Publicado: (2023)

A Collision-Free Hot-Tier Extension for Engram-Style Conditional Memory: A Controlled Study of Training Dynamics
por: Lin, Tao
Publicado: (2026)

Memory Injections: Correcting Multi-Hop Reasoning Failures during Inference in Transformer-Based Language Models
por: Sakarvadia, Mansi, et al.
Publicado: (2023)

SWAN: Sparse Winnowed Attention for Reduced Inference Memory via Decompression-Free KV-Cache Compression
por: S, Santhosh G, et al.
Publicado: (2025)

Stealing Creator's Workflow: A Creator-Inspired Agentic Framework with Iterative Feedback Loop for Improved Scientific Short-form Generation
por: Park, Jong Inn, et al.
Publicado: (2025)

AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback
por: Dubois, Yann, et al.
Publicado: (2023)

An Efficient Inference Framework for Early-exit Large Language Models
por: Miao, Ruijie, et al.
Publicado: (2024)

Boundary-Guided Policy Optimization for Memory-efficient RL of Diffusion Large Language Models
por: Lin, Nianyi, et al.
Publicado: (2025)

An Iterative Utility Judgment Framework Inspired by Philosophical Relevance via LLMs
por: Zhang, Hengran, et al.
Publicado: (2024)

LeMoLE: LLM-Enhanced Mixture of Linear Experts for Time Series Forecasting
por: Zhang, Lingzheng, et al.
Publicado: (2024)