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

52 papers, page 1 of 2

1. NeurIPS 2024[Re] CUDA: Curriculum of Data Augmentation for Long‐tailed Recognition
2. NeurIPS 2024An Efficient Recipe for Long Context Extension via Middle-Focused Positional Encoding
3. NeurIPS 2024AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation
4. NeurIPS 2024BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack
5. NeurIPS 2024Balancing Context Length and Mixing Times for Reinforcement Learning at Scale
6. NeurIPS 2024Base of RoPE Bounds Context Length
7. NeurIPS 2024BERTs are Generative In-Context Learners
8. NeurIPS 2024DAPE: Data-Adaptive Positional Encoding for Length Extrapolation
9. NeurIPS 2024Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum
10. NeurIPS 2024Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling
11. NeurIPS 2024Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data
12. NeurIPS 2024Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate
13. NeurIPS 2024Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspective
14. NeurIPS 2024Exploring Context Window of Large Language Models via Decomposed Positional Vectors
15. NeurIPS 2024Flexible Context-Driven Sensory Processing in Dynamical Vision Models
16. NeurIPS 2024Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding
17. NeurIPS 2024Grammar-Aligned Decoding
18. NeurIPS 2024In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness
19. NeurIPS 2024InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory
20. NeurIPS 2024KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
21. NeurIPS 2024Learning Partitions from Context
22. NeurIPS 2024Lever LM: Configuring In-Context Sequence to Lever Large Vision Language Models
23. NeurIPS 2024Linear Transformers are Versatile In-Context Learners
24. NeurIPS 2024Long-range Brain Graph Transformer
25. NeurIPS 2024Long-Range Feedback Spiking Network Captures Dynamic and Static Representations of the Visual Cortex under Movie Stimuli
26. NeurIPS 2024Long-tailed Object Detection Pretraining: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction
27. NeurIPS 2024LongVideoBench: A Benchmark for Long-context Interleaved Video-Language Understanding
28. NeurIPS 2024Make Your LLM Fully Utilize the Context
29. NeurIPS 2024MambaLRP: Explaining Selective State Space Sequence Models
30. NeurIPS 2024Many-Shot In-Context Learning
31. NeurIPS 2024Many-shot Jailbreaking
32. NeurIPS 2024Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length
33. NeurIPS 2024MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention
34. NeurIPS 2024Mini-Sequence Transformers: Optimizing Intermediate Memory for Long Sequences Training
35. NeurIPS 2024Mixture of In-Context Experts Enhance LLMs' Long Context Awareness
36. NeurIPS 2024MMLONGBENCH-DOC: Benchmarking Long-context Document Understanding with Visualizations
37. NeurIPS 2024Needle In A Multimodal Haystack
38. NeurIPS 2024Neural P$^3$M: A Long-Range Interaction Modeling Enhancer for Geometric GNNs
39. NeurIPS 2024One-Layer Transformer Provably Learns One-Nearest Neighbor In Context
40. NeurIPS 2024Opponent Modeling with In-context Search
41. NeurIPS 2024Pretrained Transformer Efficiently Learns Low-Dimensional Target Functions In-Context
42. NeurIPS 2024Probing the Decision Boundaries of In-context Learning in Large Language Models
43. NeurIPS 2024Reparameterized Multi-Resolution Convolutions for Long Sequence Modelling
44. NeurIPS 2024Robust Sleep Staging over Incomplete Multimodal Physiological Signals via Contrastive Imagination
45. NeurIPS 2024Selective Attention: Enhancing Transformer through Principled Context Control
46. NeurIPS 2024StreamingDialogue: Prolonged Dialogue Learning via Long Context Compression with Minimal Losses
47. NeurIPS 2024Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack
48. NeurIPS 2024The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains
49. NeurIPS 2024The GAN is dead; long live the GAN! A Modern GAN Baseline
50. NeurIPS 2024Transformers are Minimax Optimal Nonparametric In-Context Learners

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.