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

176 papers, page 2 of 4

51. ICLR 2024MEND: Meta Demonstration Distillation for Efficient and Effective In-Context Learning
52. ICLR 2024Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors
53. ICLR 2024One Step of Gradient Descent is Provably the Optimal In-Context Learner with One Layer of Linear Self-Attention
54. ICLR 2024Periodicity Decoupling Framework for Long-term Series Forecasting
55. ICLR 2024PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training
56. ICLR 2024RECOMP: Improving Retrieval-Augmented LMs with Context Compression and Selective Augmentation
57. ICLR 2024Retrieval meets Long Context Large Language Models
58. ICLR 2024RingAttention with Blockwise Transformers for Near-Infinite Context
59. ICLR 2024Robustifying State-space Models for Long Sequences via Approximate Diagonalization
60. ICLR 2024Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns
61. ICLR 2024The Cost of Scaling Down Large Language Models: Reducing Model Size Affects Memory before In-context Learning
62. ICLR 2024Towards Offline Opponent Modeling with In-context Learning
63. ICLR 2024Transformer-VQ: Linear-Time Transformers via Vector Quantization
64. ICLR 2024YaRN: Efficient Context Window Extension of Large Language Models
65. ICML 2024A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts
66. ICML 2024An Information-Theoretic Analysis of In-Context Learning
67. ICML 2024Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT
68. ICML 2024Bifurcated Attention for Single-Context Large-Batch Sampling
69. ICML 2024Breaking through the learning plateaus of in-context learning in Transformer
70. ICML 2024Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling
71. ICML 2024Can Mamba Learn How To Learn? A Comparative Study on In-Context Learning Tasks
72. ICML 2024Chasing Convex Functions with Long-term Constraints
73. ICML 2024Conditional Language Learning with Context
74. ICML 2024Data Engineering for Scaling Language Models to 128K Context
75. ICML 2024Dual Operating Modes of In-Context Learning
76. ICML 2024Efficient World Models with Context-Aware Tokenization
77. ICML 2024ELTA: An Enhancer against Long-Tail for Aesthetics-oriented Models
78. ICML 2024Emergence of In-Context Reinforcement Learning from Noise Distillation
79. ICML 2024Evaluating Quantized Large Language Models
80. ICML 2024Exact Conversion of In-Context Learning to Model Weights in Linearized-Attention Transformers
81. ICML 2024Fast Peer Adaptation with Context-aware Exploration
82. ICML 2024Feedback Loops With Language Models Drive In-Context Reward Hacking
83. ICML 2024Generalization to New Sequential Decision Making Tasks with In-Context Learning
84. ICML 2024GistScore: Learning Better Representations for In-Context Example Selection with Gist Bottlenecks
85. ICML 2024Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition
86. ICML 2024How do Transformers Perform In-Context Autoregressive Learning ?
87. ICML 2024In-context Convergence of Transformers
88. ICML 2024In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought
89. ICML 2024In-Context Language Learning: Architectures and Algorithms
90. ICML 2024In-Context Learning Agents Are Asymmetric Belief Updaters
91. ICML 2024In-context Learning on Function Classes Unveiled for Transformers
92. ICML 2024In-Context Principle Learning from Mistakes
93. ICML 2024In-Context Unlearning: Language Models as Few-Shot Unlearners
94. ICML 2024In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering
95. ICML 2024Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective
96. ICML 2024Language Models as Science Tutors
97. ICML 2024Learning Label Shift Correction for Test-Agnostic Long-Tailed Recognition
98. ICML 2024Linguistic Calibration of Long-Form Generations
99. ICML 2024LLM Maybe LongLM: SelfExtend LLM Context Window Without Tuning
100. ICML 2024LoCoCo: Dropping In Convolutions for Long Context Compression

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.