{"total":43,"rows":[{"id":"2102.11174","title":"Linear Transformers Are Secretly Fast Weight Programmers","created":"2021-02-22","cited_by_count":502,"area":null},{"id":"2406.06484","title":"Parallelizing Linear Transformers with the Delta Rule over Sequence Length","created":"2024-06-10","cited_by_count":396,"area":null},{"id":"2404.07143","title":"Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention","created":"2024-04-10","cited_by_count":200,"area":null},{"id":"2106.06295","title":"Going Beyond Linear Transformers with Recurrent Fast Weight Programmers","created":"2021-06-11","cited_by_count":89,"area":null},{"id":"2409.07146","title":"Gated Slot Attention for Efficient Linear-Time Sequence Modeling","created":"2024-09-11","cited_by_count":76,"area":null},{"id":"2502.10297","title":"DeltaProduct: Improving State-Tracking in Linear RNNs via Householder Products","created":"2025-02-14","cited_by_count":75,"area":null},{"id":"2512.23675","title":"End-to-End Test-Time Training for Long Context","created":"2025-12-29","cited_by_count":62,"area":null},{"id":"2506.05233","title":"MesaNet: Sequence Modeling by Locally Optimal Test-Time Training","created":"2025-06-05","cited_by_count":47,"area":null},{"id":"2108.02347","title":"FMMformer: Efficient and Flexible Transformer via Decomposed Near-field and Far-field Attention","created":"2021-08-05","cited_by_count":26,"area":null},{"id":"2210.04243","title":"Fine-Tuning Pre-trained Transformers into Decaying Fast Weights","created":"2022-10-09","cited_by_count":26,"area":null},{"id":"2109.10781","title":"Introducing Symmetries to Black Box Meta Reinforcement Learning","created":"2021-09-22","cited_by_count":25,"area":null},{"id":"2110.02220","title":"Fast Contextual Adaptation with Neural Associative Memory for On-Device Personalized Speech Recognition","created":"2021-10-05","cited_by_count":25,"area":null},{"id":"2509.22284","title":"Structured Sparse Transition Matrices to Enable State Tracking in State-Space Models","created":"2025-09-26","cited_by_count":16,"area":null},{"id":"2212.14392","title":"Eliminating Meta Optimization Through Self-Referential Meta Learning","created":"2022-12-29","cited_by_count":14,"area":null},{"id":"2601.00671","title":"Fast-weight Product Key Memory","created":"2026-01-02","cited_by_count":13,"area":null},{"id":"2506.00744","title":"Blending Complementary Memory Systems in Hybrid Quadratic-Linear Transformers","created":"2025-05-31","cited_by_count":12,"area":null},{"id":"2108.07895","title":"Adaptive Convolutions with Per-pixel Dynamic Filter Atom","created":"2021-08-17","cited_by_count":11,"area":null},{"id":"2403.05330","title":"Consecutive Batch Model Editing with HooK Layers","created":"2024-03-08","cited_by_count":10,"area":null},{"id":"2210.06184","title":"Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning Rules","created":"2022-10-07","cited_by_count":9,"area":null},{"id":"2508.08435","title":"Fast weight programming and linear transformers: from machine learning to neurobiology","created":"2025-08-11","cited_by_count":8,"area":null},{"id":"2112.00086","title":"Dyna-bAbI: unlocking bAbI's potential with dynamic synthetic benchmarking","created":"2021-11-30","cited_by_count":7,"area":null},{"id":"2408.14906","title":"Writing in the Margins: Better Inference Pattern for Long Context Retrieval","created":"2024-08-27","cited_by_count":7,"area":null},{"id":"2410.06577","title":"Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient Attentions","created":"2024-10-09","cited_by_count":6,"area":null},{"id":"2602.14814","title":"Learning State-Tracking from Code Using Linear RNNs","created":"2026-02-16","cited_by_count":6,"area":null},{"id":"2202.02363","title":"Meta-Reinforcement Learning with Self-Modifying Networks","created":"2022-02-04","cited_by_count":4,"area":null},{"id":"2302.03235","title":"Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs","created":"2023-02-07","cited_by_count":4,"area":null},{"id":"2504.00492","title":"ParallelFlow: Parallelizing Linear Transformers via Flow Discretization","created":"2025-04-01","cited_by_count":4,"area":null},{"id":"2302.02093","title":"Knowledge-enhanced Neural Machine Reasoning: A Review","created":"2023-02-04","cited_by_count":3,"area":null},{"id":"2512.19154","title":"Beyond Sliding Windows: Learning to Manage Memory in Non-Markovian Environments","created":"2025-12-22","cited_by_count":3,"area":null},{"id":"2310.09297","title":"A Framework for Inference Inspired by Human Memory Mechanisms","created":"2023-10-01","cited_by_count":2,"area":null},{"id":"2406.01012","title":"Attention-based Iterative Decomposition for Tensor Product Representation","created":"2024-06-03","cited_by_count":2,"area":null},{"id":"2407.10486","title":"IDEAL: Leveraging Infinite and Dynamic Characterizations of Large Language Models for Query-focused Summarization","created":"2024-07-15","cited_by_count":2,"area":null},{"id":"2204.08688","title":"DecBERT: Enhancing the Language Understanding of BERT with Causal Attention Masks","created":"2022-04-19","cited_by_count":1,"area":null},{"id":"2211.09440","title":"Learning to Control Rapidly Changing Synaptic Connections: An Alternative Type of Memory in Sequence Processing Artificial Neural Networks","created":"2022-11-17","cited_by_count":1,"area":null},{"id":"2312.10925","title":"Delving Deeper Into Astromorphic Transformers","created":"2023-12-18","cited_by_count":1,"area":null},{"id":"2510.21908","title":"Enabling Robust In-Context Memory and Rapid Task Adaptation in Transformers with Hebbian and Gradient-Based Plasticity","created":"2025-10-24","cited_by_count":1,"area":null},{"id":"2601.12598","title":"Dissecting Linear Recurrent Models: How Different Gating Strategies Drive Selectivity and Generalization","created":"2026-01-18","cited_by_count":1,"area":null},{"id":"2305.11462","title":"Extending Memory for Language Modelling","created":"2023-05-19","cited_by_count":0,"area":null},{"id":"2312.03735","title":"Advancing State of the Art in Language Modeling","created":"2023-11-28","cited_by_count":0,"area":null},{"id":"2406.06976","title":"Discrete Dictionary-based Decomposition Layer for Structured Representation Learning","created":"2024-06-11","cited_by_count":0,"area":null},{"id":"2410.01349","title":"Life, uh, Finds a Way: Hyperadaptability by Behavioral Search","created":"2024-10-02","cited_by_count":0,"area":null},{"id":"2601.06463","title":"Gecko: An Efficient Neural Architecture Inherently Processing Sequences with Arbitrary Lengths","created":"2026-01-10","cited_by_count":0,"area":null},{"id":"2605.19150","title":"Flash PD-SSM: Memory-Optimized Structured Sparse State-Space Models","created":"2026-05-18","cited_by_count":0,"area":null}],"next_cursor":null}