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

226 papers, page 2 of 5

51. ICML 2026MoRGen: Mixture-of-Resolutions Generative Forecasting for Irregularly Sampled Medical Time-Series Data
52. ICML 2026MuonSSM: Orthogonalizing State Space Models for Sequence Modeling
53. ICML 2026NanoSpec: Accelerating Speculative Decoding using Minimalist In-Context Vocabularies
54. ICML 2026OBCache: Optimal Brain KV Cache Pruning for Efficient Long-Context LLM Inference
55. ICML 2026OPIC: Enhancing Language Model Merging via Optimizing In-Context Capability
56. ICML 2026ParaTool: Shifting Tool Representations from Context to Parameters
57. ICML 2026ParisKV: Fast and Drift-Robust KV-Cache Retrieval for Long-Context LLMs
58. ICML 2026PersistBench: When Should Long-Term Memories Be Forgotten by LLMs?
59. ICML 2026PLASH: Provably Linear-Time Attention with Selective Higher-Order Feature Sketching
60. ICML 2026Predicting Future Utility: Global Combinatorial Optimization for Task-Agnostic KV Cache Eviction
61. ICML 2026Prism: Spectral-Aware Block-Sparse Attention
62. ICML 2026Probing How Scalable Table Data Enhances General Long-Context Reasoning
63. ICML 2026ProphetKV: User-Query-Driven Selective Recomputation for Efficient KV Cache Reuse in Retrieval-Augmented Generation
64. ICML 2026Push, Pop, Parallelize: Stack-Augmented Linear Attention via the Delta Rule
65. ICML 2026RaBitQCache: Rotated Binary Quantization for KVCache in Long Context LLM Inference
66. ICML 2026Recursive Models for Long-Horizon Reasoning
67. ICML 2026RePo: Language Models with Context Re-Positioning
68. ICML 2026Residual Context Diffusion Language Models
69. ICML 2026Resolving the Timestep Scaling Paradox in Spiking Neural Networks with a Timestep-Scalable Neuron Model
70. ICML 2026Rethinking Genomic Modeling Through Optical Character Recognition
71. ICML 2026Rethinking Loss Reweighting for Imbalance Learning as an Inverse Problem: A Neural Collapse Point of View
72. ICML 2026Revealing Long-context Potential of Attention Heads via Frequency Kernels
73. ICML 2026Robust Filter Attention: Self-Attention as Precision-Weighted State Estimation
74. ICML 2026Safe In-Context Reinforcement Learning
75. ICML 2026SALE : Low-bit Estimation for Efficient Sparse Attention in Long-context LLM Prefilling
76. ICML 2026Scalable Option Learning in High-Throughput Environments
77. ICML 2026Scaling Long-Horizon Agent via Context Folding
78. ICML 2026Scout Before You Attend: Sketch-and-Walk Sparse Attention for Efficient LLM Inference
79. ICML 2026Shortcut-Resistant CAM Distillation for Long-Tailed Recognition
80. ICML 2026Shuffle the Context: RoPE-Perturbed Self-Distillation for Long-Context Adaptation
81. ICML 2026SKETCH: Semantic Key-Point Conditioning for Long-Horizon Vessel Trajectory Prediction
82. ICML 2026Softmax as Linear Attention in the Large-Prompt Regime: a Measure-based Perspective
83. ICML 2026Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models
84. ICML 2026SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?
85. ICML 2026Symmetry Reveals Layerwise Dynamics: How Transformers Perform In-Context Classification
86. ICML 2026Temporal Context Reinstatement Drives Episodic-Like Order Memory in Long-Context Language Models
87. ICML 2026The Devil is in the Spectrum: Mitigating Representation Collapse in LLMs via Topologically Regularized Side-Path
88. ICML 2026The First Drop of Ink: Nonlinear Impact of Misleading Information in Long-Context Reasoning
89. ICML 2026The Geometric Reasoner: Manifold-Informed Latent Foresight Search for Long-Context Reasoning
90. ICML 2026Token Sparse Attention: Efficient Long-Context Inference with Interleaved Token Selection
91. ICML 2026Training–Inference Consistent Segmented Execution for Long-Context LLMs
92. ICML 2026Transformers Can Learn Posterior Predictive Distributions In-Context
93. ICML 2026Transformers Efficiently Perform In-Context Logistic Regression via Normalized Gradient Descent
94. ICML 2026Understanding Generalization and Forgetting in In-Context Continual Learning
95. ICML 2026Universal Approximation with Softmax Attention
96. ICML 2026Untied Ulysses: Memory-Efficient Context Parallelism via Headwise Chunking
97. ICML 2026When to Memorize and When to Stop: Gated Recurrent Memory for Long-Context Reasoning
98. ICML 2026You Need Better Attention Priors
99. ICML 2025$\infty$-Video: A Training-Free Approach to Long Video Understanding via Continuous-Time Memory Consolidation
100. ICML 2025AdaSplash: Adaptive Sparse Flash 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.