Long Context papers, 2023–2026

Key findings

• Long Context went from 66 papers in 2023 to 341 in 2026, roughly 5.2x in three years.
• NeurIPS publishes the most Long Context work: 298 papers from 2023 to 2026, 36% of the four-venue total.
• The fastest-growing overlap is with AI Agents: papers tagged with both rose from 0 in 2023 to 45 in 2026.
• Among the 5 topics under Long Context and Memory, it ranks #1 by 2026 paper count; the fastest grower in the group, Retrieval Memory, is up 6.6x versus 5.2x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026Accelerating Long-Context LLM Prefill via Layer-wise Progressive Token Pruning in Local Deployment
• ICML 2026AdaSplash-2: Faster Differentiable Sparse Attention
• ICLR 2026An evolutionary perspective on modes of learning in Transformers
• CVPR 2026AR2-4FV Anchored Referring and Re-identification for Long-Term Grounding in Fixed-View
• NeurIPS 2025A Controllable Examination for Long-Context Language Models
• ICML 2025CateKV: On Sequential Consistency for Long-Context LLM Inference Acceleration
• ICLR 2025$\text{D}_{2}\text{O}$: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models
• CVPR 2025BIMBA: Selective-Scan Compression for Long-Range Video Question Answering
• NeurIPS 2024[Re] CUDA: Curriculum of Data Augmentation for Long‐tailed Recognition
• ICML 2024Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT
• ICLR 2024CLEX: Continuous Length Extrapolation for Large Language Models
• CVPR 2024GigaTraj: Predicting Long-term Trajectories of Hundreds of Pedestrians in Gigapixel Complex Scenes
• NeurIPS 2023A Single 2D Pose with Context is Worth Hundreds for 3D Human Pose Estimation
• ICML 2023CAB: Comprehensive Attention Benchmarking on Long Sequence Modeling
• ICLR 2023$k$NN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference
• CVPR 2023AutoAD: Movie Description in Context
• NeurIPS 2026AdaCal: Adaptive Calibration for Robust Sparse Attention in Long-Context LLMs
• ICML 2026Artificial Hippocampus Networks for Efficient Long-Context Modeling
• ICLR 2026AutoSP: Unlocking Long-Context LLM Training Via Compiler-Based Sequence Parallelism
• CVPR 2026AstraNav-Memory Contexts Compression for Long Memory

All Long Context papers

98 papers, page 2 of 2

51. NeurIPS 2025MoFo: Empowering Long-term Time Series Forecasting with Periodic Pattern Modeling
52. NeurIPS 2025Multipole Attention for Efficient Long Context Reasoning
53. NeurIPS 2025MultiScale Contextual Bandits for Long Term Objectives
54. NeurIPS 2025NeedleInATable: Exploring Long-Context Capability of Large Language Models towards Long-Structured Tables
55. NeurIPS 2025Omni-DNA: A Genomic Model Supporting Sequence Understanding, Long-context, and Textual Annotation
56. NeurIPS 2025Overcoming Long Context Limitations of State Space Models via Context Dependent Sparse Attention
57. NeurIPS 2025PaceLLM: Brain-Inspired Large Language Models for Long-Context Understanding
58. NeurIPS 2025PHANTOM: A Benchmark for Hallucination Detection in Financial Long-Context QA
59. NeurIPS 2025Pre-trained Large Language Models Learn to Predict Hidden Markov Models In-context
60. NeurIPS 2025Predicting Functional Brain Connectivity with Context-Aware Deep Neural Networks
61. NeurIPS 2025Principled Long-Tailed Generative Modeling via Diffusion Models
62. NeurIPS 2025R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing
63. NeurIPS 2025ReCAP: Recursive Context-Aware Reasoning and Planning for Large Language Model Agents
64. NeurIPS 2025RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
65. NeurIPS 2025Retrospective In-Context Learning for Temporal Credit Assignment with Large Language Models
66. NeurIPS 2025Revisiting Glorot Initialization for Long-Range Linear Recurrences
67. NeurIPS 2025Robust Ego-Exo Correspondence with Long-Term Memory
68. NeurIPS 2025Rope to Nope and Back Again: A New Hybrid Attention Strategy
69. NeurIPS 2025SALoM: Structure Aware Temporal Graph Networks with Long-Short Memory Updater
70. NeurIPS 2025Scalable In-context Ranking with Generative Models
71. NeurIPS 2025Scale-invariant attention
72. NeurIPS 2025SeerAttention: Self-distilled Attention Gating for Efficient Long-context Prefilling
73. NeurIPS 2025Short-length Adversarial Training Helps LLMs Defend Long-length Jailbreak Attacks: Theoretical and Empirical Evidence
74. NeurIPS 2025Skrull: Towards Efficient Long Context Fine-tuning through Dynamic Data Scheduling
75. NeurIPS 2025SkyLadder: Better and Faster Pretraining via Context Window Scheduling
76. NeurIPS 2025StarTrail: Concentric Ring Sequence Parallelism for Efficient Near-Infinite-Context Transformer Model Training
77. NeurIPS 2025StateSpaceDiffuser: Bringing Long Context to Diffusion World Models
78. NeurIPS 2025Streaming Attention Approximation via Discrepancy Theory
79. NeurIPS 2025Technical Debt in In-Context Learning: Diminishing Efficiency in Long Context
80. NeurIPS 2025Temporal Chain of Thought: Long-Video Understanding by Thinking in Frames
81. NeurIPS 2025Theoretical Insights into In-context Learning with Unlabeled Data
82. NeurIPS 2025Thoughts Are All Over the Place: On the Underthinking of Long Reasoning Models
83. NeurIPS 2025TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning
84. NeurIPS 2025Titans: Learning to Memorize at Test Time
85. NeurIPS 2025Towards Predicting Any Human Trajectory In Context
86. NeurIPS 2025Towards Provable Emergence of In-Context Reinforcement Learning
87. NeurIPS 2025Trained Mamba Emulates Online Gradient Descent in In-Context Linear Regression
88. NeurIPS 2025True Zero-Shot Inference of Dynamical Systems Preserving Long-Term Statistics
89. NeurIPS 2025UniGist: Towards General and Hardware-aligned Sequence-level Long Context Compression
90. NeurIPS 2025Unlabeled Data Can Provably Enhance In-Context Learning of Transformers
91. NeurIPS 2025Unleashing Hour-Scale Video Training for Long Video-Language Understanding
92. NeurIPS 2025Unveiling the Spatial-temporal Effective Receptive Fields of Spiking Neural Networks
93. NeurIPS 2025Variance-Reduced Long-Term Rehearsal Learning with Quadratic Programming Reformulation
94. NeurIPS 2025Vision-centric Token Compression in Large Language Model
95. NeurIPS 2025Vocabulary In-Context Learning in Transformers: Benefits of Positional Encoding
96. NeurIPS 2025WaLRUS: Wavelets for Long range Representation Using State Space Methods
97. NeurIPS 2025WorldMem: Long-term Consistent World Simulation with Memory
98. NeurIPS 2025ZeCO: Zero-Communication Overhead Sequence Parallelism for Linear Attention

FAQ

How many Long Context papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

838 in total: 66 in 2023, 176 in 2024, 255 in 2025, 341 in 2026.

How many Long Context papers are at NeurIPS 2026?

NeurIPS 2026 has 130 Long Context papers, versus 98 the year before.

How many Long Context papers are at ICLR 2026?

ICLR 2026 has 82 Long Context papers, versus 87 the year before.

How many Long Context papers are at ICML 2026?

ICML 2026 has 98 Long Context papers, versus 53 the year before.

How many Long Context papers are at CVPR 2026?

CVPR 2026 has 31 Long Context papers, versus 17 the year before.

Which conference publishes the most Long Context papers?

NeurIPS, with 298 papers from 2023 to 2026.