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

255 papers, page 2 of 6

51. ICLR 2025Is In-Context Learning Sufficient for Instruction Following in LLMs?
52. ICLR 2025Learning Long Range Dependencies on Graphs via Random Walks
53. ICLR 2025Learning Randomized Algorithms with Transformers
54. ICLR 2025Long Context Compression with Activation Beacon
55. ICLR 2025Long-Context Linear System Identification
56. ICLR 2025Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG
57. ICLR 2025Long-tailed Adversarial Training with Self-Distillation
58. ICLR 2025Long-time asymptotics of noisy SVGD outside the population limit
59. ICLR 2025LongGenBench: Benchmarking Long-Form Generation in Long Context LLMs
60. ICLR 2025LongMamba: Enhancing Mamba's Long-Context Capabilities via Training-Free Receptive Field Enlargement
61. ICLR 2025LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization
62. ICLR 2025LongVILA: Scaling Long-Context Visual Language Models for Long Videos
63. ICLR 2025LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs
64. ICLR 2025MagicDec: Breaking the Latency-Throughput Tradeoff for Long Context Generation with Speculative Decoding
65. ICLR 2025MambaExtend: A Training-Free Approach to Improve Long Context Extension of Mamba
66. ICLR 2025MELODI: Exploring Memory Compression for Long Contexts
67. ICLR 2025Metalic: Meta-Learning In-Context with Protein Language Models
68. ICLR 2025miniCTX: Neural Theorem Proving with (Long-)Contexts
69. ICLR 2025Needle Threading: Can LLMs Follow Threads Through Near-Million-Scale Haystacks?
70. ICLR 2025NovelQA: Benchmarking Question Answering on Documents Exceeding 200K Tokens
71. ICLR 2025OmniKV: Dynamic Context Selection for Efficient Long-Context LLMs
72. ICLR 2025On the Learn-to-Optimize Capabilities of Transformers in In-Context Sparse Recovery
73. ICLR 2025Oscillatory State-Space Models
74. ICLR 2025P-SPIKESSM: HARNESSING PROBABILISTIC SPIKING STATE SPACE MODELS FOR LONG-RANGE DEPENDENCY TASKS
75. ICLR 2025PEARL: Towards Permutation-Resilient LLMs
76. ICLR 2025PICASO: Permutation-Invariant Context Composition with State Space Models
77. ICLR 2025Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model
78. ICLR 2025Radar: Fast Long-Context Decoding for Any Transformer
79. ICLR 2025ReAttention: Training-Free Infinite Context with Finite Attention Scope
80. ICLR 2025Rethinking Invariance in In-context Learning
81. ICLR 2025Retrieval Head Mechanistically Explains Long-Context Factuality
82. ICLR 2025RetroInText: A Multimodal Large Language Model Enhanced Framework for Retrosynthetic Planning via In-Context Representation Learning
83. ICLR 2025Revisiting In-context Learning Inference Circuit in Large Language Models
84. ICLR 2025Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling
85. ICLR 2025Scaling Instruction-tuned LLMs to Million-token Contexts via Hierarchical Synthetic Data Generation
86. ICLR 2025Scaling Long Context Training Data by Long-Distance Referrals
87. ICLR 2025SCBench: A KV Cache-Centric Analysis of Long-Context Methods
88. ICLR 2025Scrutinize What We Ignore: Reining In Task Representation Shift Of Context-Based Offline Meta Reinforcement Learning
89. ICLR 2025Self-Updatable Large Language Models by Integrating Context into Model Parameters
90. ICLR 2025TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting
91. ICLR 2025Timer-XL: Long-Context Transformers for Unified Time Series Forecasting
92. ICLR 2025Towards Learning High-Precision Least Squares Algorithms with Sequence Models
93. ICLR 2025Training Free Exponential Context Extension via Cascading KV Cache
94. ICLR 2025Transformers are Universal In-context Learners
95. ICLR 2025Transformers Handle Endogeneity in In-Context Linear Regression
96. ICLR 2025Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing
97. ICLR 2025Unsupervised Meta-Learning via In-Context Learning
98. ICLR 2025Vector-ICL: In-context Learning with Continuous Vector Representations
99. ICLR 2025VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning
100. ICLR 2025Wavelet-based Positional Representation for Long Context

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.