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

230 papers, page 2 of 5

51. ICLR 2026MrRoPE: Mixed-radix Rotary Position Embedding
52. ICLR 2026On learning linear dynamical systems in context with attention layers
53. ICLR 2026Out of the Memory Barrier: A Highly Memory-Efficient Training System for LLMs with Million-Token Contexts
54. ICLR 2026PERK: Long-Context Reasoning as Parameter-Efficient Test-Time Learning
55. ICLR 2026PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs
56. ICLR 2026PMDformer: Patch-Mean Decoupling Transformer for Long-term Forecasting
57. ICLR 2026ProtoKV: Long-context Knowledges Are Already Well-Organized Before Your Query
58. ICLR 2026Queue Length Regret Bounds for Contextual Queueing Bandits
59. ICLR 2026RACE Attention: A Strictly Linear-Time Attention for Long-Sequence Training
60. ICLR 2026ReST-KV: Robust KV Cache Eviction with Layer-wise Output Reconstruction and Spatial-Temporal Smoothing
61. ICLR 2026Retrospective Sparse Attention for Efficient Long-Context Generation
62. ICLR 2026Revisiting Long-context Modeling from Context Denoising Perspective
63. ICLR 2026Reward Is Enough: LLMs Are In-Context Reinforcement Learners
64. ICLR 2026RMAAT: Astrocyte-Inspired Memory Compression and Replay for Efficient Long-Context Transformers
65. ICLR 2026SARM: Stage-Aware Reward Modeling for Long Horizon Robot Manipulation
66. ICLR 2026Sculptor: Empowering LLMs with Cognitive Agency via Active Context Management
67. ICLR 2026Short Window Attention Enables Long-Term Memorization
68. ICLR 2026SinkTrack: Attention Sink based Context Anchoring for Large Language Models
69. ICLR 2026Smooth Reading: Bridging the Gap of Recurrent LLM to Self-Attention LLM on Long-Context Understanding
70. ICLR 2026SoLoPO: Unlocking Long-Context Capabilities in LLMs via Short-to-Long Preference Optimization
71. ICLR 2026Stacked from One: Multi-Scale Self-Injection for Context Window Extension
72. ICLR 2026Story-Iter: A Training-free Iterative Paradigm for Long Story Visualization
73. ICLR 2026SWINGARENA: Adversarial Programming Arena for Long-context GitHub Issue Solving
74. ICLR 2026Tactic: Adaptive Sparse Attention with Clustering and Distribution Fitting for Long-Context LLMs
75. ICLR 2026TAPTRv3: Spatial and Temporal Context Foster Robust Tracking of Any Point in Long Video
76. ICLR 2026Test-Time Training Done Right
77. ICLR 2026Transformers Learn Latent Mixture Models In-Context via Mirror Descent
78. ICLR 2026UltraLLaDA: Scaling the Context Length to 128K for Diffusion Large Language Models
79. ICLR 2026UltraMemV2: Memory Networks Scaling to 120B Parameters with Superior Long-Context Learning
80. ICLR 2026Understanding and Improving Length Generalization in Hierarchical Sparse Attention Models
81. ICLR 2026VideoChat-Flash: Hierarchical Compression for Long-Context Video Modeling
82. ICLR 2026When Does Divide and Conquer Work for Long Context LLM? A Noise Decomposition Framework
83. ICLR 2025$\text{D}_{2}\text{O}$: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models
84. ICLR 2025A Causal Lens for Learning Long-term Fair Policies
85. ICLR 2025A Little Goes a Long Way: Efficient Long Context Training and Inference with Partial Contexts
86. ICLR 2025A Training-Free Sub-quadratic Cost Transformer Model Serving Framework with Hierarchically Pruned Attention
87. ICLR 2025BenTo: Benchmark Reduction with In-Context Transferability
88. ICLR 2025Bridging Context Gaps: Leveraging Coreference Resolution for Long Contextual Understanding
89. ICLR 2025Can Generative AI Solve Your In-Context Learning Problem? A Martingale Perspective
90. ICLR 2025Can In-context Learning Really Generalize to Out-of-distribution Tasks?
91. ICLR 2025Can LLMs Really Learn to Translate a Low-Resource Language from One Grammar Book?
92. ICLR 2025ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities
93. ICLR 2025Competition Dynamics Shape Algorithmic Phases of In-Context Learning
94. ICLR 2025Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHR Data
95. ICLR 2025Context-Parametric Inversion: Why Instruction Finetuning May Not Actually Improve Context Reliance
96. ICLR 2025CURIE: Evaluating LLMs on Multitask Scientific Long-Context Understanding and Reasoning
97. ICLR 2025DeciMamba: Exploring the Length Extrapolation Potential of Mamba
98. ICLR 2025Density estimation with LLMs: a geometric investigation of in-context learning trajectories
99. ICLR 2025Differential learning kinetics govern the transition from memorization to generalization during in-context learning
100. ICLR 2025Dual Process Learning: Controlling Use of In-Context vs. In-Weights Strategies with Weight Forgetting

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.