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

838 papers, page 2 of 17

51. ICLR 2026Critical attention scaling in long-context transformers
52. ICLR 2026Draft-based Approximate Inference for LLMs
53. ICLR 2026DSSA: Dense-Sparse Switchable Attention for Seamless Short-to-Long Adaptation
54. ICLR 2026ECHO: Toward Contextual Seq2Seq Paradigms in Large EEG Models
55. ICLR 2026EntropyLong: Effective Long-Context Training via Predictive Uncertainty
56. ICLR 2026Extending the Context of Pretrained LLMs by Dropping Their Positional Embedding
57. ICLR 2026Frayed RoPE and Long Inputs: A Geometric Perspective
58. ICLR 2026FreqKV: Key-Value Compression in Frequency Domain for Context Window Extension
59. ICLR 2026From Collapse to Control: Understanding and Extending Context Length in Emerging Hybrid Models via Universal Position Interpolation
60. ICLR 2026From Markov to Laplace: How Mamba In-Context Learns Markov Chains
61. ICLR 2026FSA: An Alternative Efficient Implementation of Native Sparse Attention Kernel
62. ICLR 2026Generative Diffusion Prior Distillation for Long-Context Knowledge Transfer
63. ICLR 2026Improving Long-Range Interactions in Graph Neural Simulators via Hamiltonian Dynamics
64. ICLR 2026In-Context Algebra
65. ICLR 2026In-Context Algorithm Emulation in Fixed-Weight Transformers
66. ICLR 2026Inferring brain plasticity rule under long-term stimulation with structured recurrent dynamics
67. ICLR 2026InftyThink: Breaking the Length Limits of Long-Context Reasoning in Large Language Models
68. ICLR 2026Intrinsic Entropy of Context Length Scaling in LLMs
69. ICLR 2026Is In-Context Learning Learning?
70. ICLR 2026IterResearch: Rethinking Long-Horizon Agents via Markovian State Reconstruction
71. ICLR 2026Learning to Adapt: In-Context Learning Beyond Stationarity
72. ICLR 2026Let's (not) just put things in Context: Test-time Training for Long-context LLMs
73. ICLR 2026Long-Context Attention Benchmark: From Kernel Efficiency to Distributed Context Parallelism
74. ICLR 2026Long-Context Generalization with Sparse Attention
75. ICLR 2026Long-range Modeling and Processing of Multimodal Event Sequences
76. ICLR 2026LongRLVR: Long-Context Reinforcement Learning Requires Verifiable Context Rewards
77. ICLR 2026LoongRL: Reinforcement Learning for Advanced Reasoning over Long Contexts
78. ICLR 2026LycheeDecode: Accelerating Long-Context LLM Inference via Hybrid-Head Sparse Decoding
79. ICLR 2026MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent
80. ICLR 2026Mini-cluster Guided Long-tailed Deep Clustering
81. ICLR 2026MMReD: a Cross-Modal Benchmark for Dense Context Reasoning
82. ICLR 2026MrRoPE: Mixed-radix Rotary Position Embedding
83. ICLR 2026On learning linear dynamical systems in context with attention layers
84. ICLR 2026Out of the Memory Barrier: A Highly Memory-Efficient Training System for LLMs with Million-Token Contexts
85. ICLR 2026PERK: Long-Context Reasoning as Parameter-Efficient Test-Time Learning
86. ICLR 2026PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs
87. ICLR 2026PMDformer: Patch-Mean Decoupling Transformer for Long-term Forecasting
88. ICLR 2026ProtoKV: Long-context Knowledges Are Already Well-Organized Before Your Query
89. ICLR 2026Queue Length Regret Bounds for Contextual Queueing Bandits
90. ICLR 2026RACE Attention: A Strictly Linear-Time Attention for Long-Sequence Training
91. ICLR 2026ReST-KV: Robust KV Cache Eviction with Layer-wise Output Reconstruction and Spatial-Temporal Smoothing
92. ICLR 2026Retrospective Sparse Attention for Efficient Long-Context Generation
93. ICLR 2026Revisiting Long-context Modeling from Context Denoising Perspective
94. ICLR 2026Reward Is Enough: LLMs Are In-Context Reinforcement Learners
95. ICLR 2026RMAAT: Astrocyte-Inspired Memory Compression and Replay for Efficient Long-Context Transformers
96. ICLR 2026SARM: Stage-Aware Reward Modeling for Long Horizon Robot Manipulation
97. ICLR 2026Sculptor: Empowering LLMs with Cognitive Agency via Active Context Management
98. ICLR 2026Short Window Attention Enables Long-Term Memorization
99. ICLR 2026SinkTrack: Attention Sink based Context Anchoring for Large Language Models
100. ICLR 2026Smooth Reading: Bridging the Gap of Recurrent LLM to Self-Attention LLM on Long-Context Understanding

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.