Sequence Modeling

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  1. Beyond Pairwise Attention: Higher-Order Modular Attention for Efficient Sequence Learning

    Mar 11, 2026Shirin Amiraslani, Xin GaoSequence ModelingHigher-Order Structures

  2. Retrievit: In-context Retrieval Capabilities of Transformers, State Space Models, and Hybrid Architectures

    Mar 3, 2026Georgios Pantazopoulos, Malvina Nikandrou, Ioannis Konstas +1Transformer ArchitecturesPositional Encoding

  3. HiSAC: Hierarchical Sparse Activation Compression for Ultra-long Sequence Modeling in Recommenders

    Feb 24, 2026Kun Yuan, Junyu Bi, Daixuan Cheng +5Real-World Content Recommendation ProblemRecommendation

  4. Adaptive Time Series Reasoning via Segment Selection

    Feb 20, 2026Shvat Messica, Jiawen Zhang, Kevin Li +2Time SeriesLarge Reasoning Models

  5. Learning State-Tracking from Code Using Linear RNNs

    Feb 16, 2026Julien Siems, Riccardo Grazzi, Korbinian Pöppel +3State-TrackingSequence Modeling

  6. PRISM: Parallel Residual Iterative Sequence Model

    Feb 11, 2026Jie Jiang, Ke Cheng, Xin Xu +8Sequence ModelingTransformer Residual Streams

  7. Quantum Attention by Overlap Interference: Predicting Classical and Many-Body Quantum Sequences

    Feb 6, 2026Alessio Pecilli, Matteo RosatiVariational Quantum AlgorithmsTransformer Attention

  8. Two Stages of Folding: Convergent Mechanisms in AI Protein Folding Trunks

    Feb 5, 2026Kevin Lu, Jannik Brinkmann, Stefan Huber +4Protein Structure PredictionSequence Modeling

  9. Efficient Neural Controlled Differential Equations via Attentive Kernel Smoothing

    Feb 2, 2026Egor Serov, Ilya Kuleshov, Alexey ZaytsevNeural Ordinary Differential EquationsLearning-Based Control

  10. Learning Language-Driven Sequence-Level Modal-Invariant Representations for Video-Based Visible-Infrared Person Re-Identification

    Jan 17, 2026Xiaomei Yang, Antai Liu, Xizhan Gao +3Re-IdentificationCross-Modal Attention

  11. From Word Sequences to Behavioral Sequences: Adapting Modeling and Evaluation Paradigms for Longitudinal NLP

    Jan 12, 2026Adithya V Ganesan, Vasudha Varadarajan, Oscar NE Kjell +6LongitudinalNatural Language Processing

  12. DuaDeep-SeqAffinity: Dual-Branch Deep Learning for Tri-Stream Sequence-Based Antibody--Antigen Affinity Prediction

    Dec 26, 2025Aicha Boutorh, Soumia Bouyahiaoui, Manel Kara Laouar +3AntibodySequence Modeling

  13. Lag Operator SSMs: A Geometric Framework for Structured State Space Modeling

    Dec 22, 2025Sutashu Tomonaga, Kenji Doya, Noboru MurataState Space ModelsState Space

  14. Scriboora: Rethinking Human Pose Forecasting

    Nov 19, 2025Daniel Bermuth, Alexander Poeppel, Wolfgang ReifWifi-Csi 3D Human Pose EstimationHuman Motion Prediction

  15. HyMaTE: A Hybrid Mamba and Transformer Model for EHR Representation Learning

    Sep 28, 2025Md Mozaharul Mottalib, Thao-Ly T. Phan, Rahmatollah BeheshtiMedical World ModelHybrid Transformer

  16. Aligning Inductive Bias for Data-Efficient Generalization in State Space Models

    Sep 25, 2025Qiyu Chen, Guozhang ChenState Space ModelsInductive Bias

  17. Hybrid Sequence Modeling and Reinforced Verification for Controllable Target-Conditioned Decision Making

    Aug 22, 2025Yue Pei, Hongming Zhang, Chao Gao +7Goal-Conditioned Value FunctionGoal-Conditioned Reinforcement Learning

  18. Query Brand Entity Linking in E-Commerce Search

    Feb 3, 2025Dong Liu, Sreyashi NagBrand-As-MemorySemantic Relationships

  19. Unleash LLMs Potential for Sequential Recommendation by Coordinating Dual Dynamic Index Mechanism

    Sep 14, 2024Jun Yin, Zhengxin Zeng, Mingzheng Li +11Multimodal Recommendation ModelSequential Recommendation

  20. RotRNN: Modelling Long Sequences with Rotations

    Jul 9, 2024Kai Biegun, Rares Dolga, Jake Cunningham +1Recurrent ModelSequence Modeling

  21. ELiSe: Efficient Learning of Sequences in Structured Recurrent Networks

    Feb 26, 2024Laura Kriener, Ben von Hünerbein, Kristin Spicher +5Synaptic PlasticityRecurrent Neural Networks

  22. From system models to class models: An in-context learning paradigm

    Aug 25, 2023Marco Forgione, Filippo Pura, Dario PigaSystem IdentificationIn-Context Learning

  23. When do cheap embeddings beat protein language models? A theoretically-grounded hashing sketch for biological sequence classification

    Date pendingSarwan Ali, Taslim Murad, Imdadullah Khan +1Contextual EmbeddingsLocality-Sensitive Hashing

  24. SIDE: Sensor Impersonation Detection at the Edge via Sequence Prediction

    Date pendingNahom BirhanInternet Of ThingSensors