Overview

Long-context modeling aims to let models use information spread across lengthy text, conversations, documents, videos, and time series without losing relevant details. Approaches include sparse or hierarchical attention, recurrent state-space models, external and compressed memory, retrieval, and training methods that extend context or teach evidence use. Researchers evaluate these systems on tasks such as long-document question answering, multi-hop retrieval, dialogue memory, and long-video understanding, while also studying positional encodings and how performance changes with context length. A central tension is that larger windows do not guarantee reliable reasoning: models may miss distant evidence or be distracted by irrelevant material, while efficient methods must balance computation and memory against recall and accuracy.

Latest papers

CardsList

139 papers18 papers in the last four weeks, up 80% on the four weeks before. 0.1% of all new papers.

  1. Long-Context Encoder Models for Polish Language Understanding

    Mar 12, 2026Sławomir Dadas, Rafał Poświata, Marek Kozłowski +4Long-Context Language ModelingLong-Context Modeling

  2. Why Attend to Everything? Focus is the Key

    Mar 12, 2026Hengshuai Yao, Xing Chen, Ahmed Murtadha +8Attention MechanismsEfficient Attention

  3. Beyond Sequential Distance: Inter-Modal Distance Invariant Position Encoding

    Mar 11, 2026Lin Chen, Bolin Ni, Qi Yang +5Multimodal Large Language ModelsLong-Context Modeling

  4. Automatic Cardiac Risk Management Classification using large-context Electronic Patients Health Records

    Mar 10, 2026Jacopo Vitale, David Della Morte, Luca Bacco +5Clinical Risk PredictionCardiovascular Risk Prediction

  5. Recursive Models for Long-Horizon Reasoning

    Mar 2, 2026Chenxiao Yang, Nathan Srebro, Zhiyuan LiRecursive Language ModelsLanguage Modeling

  6. Towards Long-Form Spatio-Temporal Video Grounding

    Feb 26, 2026Xin Gu, Bing Fan, Jiali Yao +5Temporal Video GroundingLong-Context Modeling

  7. An Evaluation of Context Length Extrapolation in Long Code via Positional Embeddings and Efficient Attention

    Feb 25, 2026Madhusudan Ghosh, Rishabh GuptaLong-Context ModelingLong-Context Language Model Evaluation

  8. Frayed RoPE and Long Inputs: A Geometric Perspective

    Feb 24, 2026Davis Wertheimer, Aozhong Zhang, Derrick Liu +2Rotary Positional EmbeddingsLong-Context Language Modeling

  9. Avey-B

    Feb 17, 2026Devang Acharya, Mohammad HammoudLanguage ModelingTransformer

  10. Oolong: Evaluating Long Context Reasoning and Aggregation Capabilities

    Nov 4, 2025Amanda Bertsch, Adithya Pratapa, Teruko Mitamura +2LLM EvaluationLong-Context Language Model Evaluation

  11. Contextual Representation Flow Across Depth in State-Space and Transformer Architectures

    Oct 8, 2025Nhat M. Hoang, Do Xuan Long, Cong-Duy Nguyen +3State Space ModelsState Space Language Models

  12. LIFT: A Novel Framework for Enhancing Long-Context Understanding of LLMs via Long Input Fine-Tuning

    Feb 20, 2025Yansheng Mao, Yufei Xu, Jiaqi Li +5Long-Context QALLM Fine-Tuning

  13. RotRNN: Modelling Long Sequences with Rotations

    Jul 9, 2024Kai Biegun, Rares Dolga, Jake Cunningham +1Recurrent Neural NetworksLong-Context Modeling