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

60 papers, page 1 of 2

1. ICML 2024A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts
2. ICML 2024An Information-Theoretic Analysis of In-Context Learning
3. ICML 2024Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT
4. ICML 2024Bifurcated Attention for Single-Context Large-Batch Sampling
5. ICML 2024Breaking through the learning plateaus of in-context learning in Transformer
6. ICML 2024Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling
7. ICML 2024Can Mamba Learn How To Learn? A Comparative Study on In-Context Learning Tasks
8. ICML 2024Chasing Convex Functions with Long-term Constraints
9. ICML 2024Conditional Language Learning with Context
10. ICML 2024Data Engineering for Scaling Language Models to 128K Context
11. ICML 2024Dual Operating Modes of In-Context Learning
12. ICML 2024Efficient World Models with Context-Aware Tokenization
13. ICML 2024ELTA: An Enhancer against Long-Tail for Aesthetics-oriented Models
14. ICML 2024Emergence of In-Context Reinforcement Learning from Noise Distillation
15. ICML 2024Evaluating Quantized Large Language Models
16. ICML 2024Exact Conversion of In-Context Learning to Model Weights in Linearized-Attention Transformers
17. ICML 2024Fast Peer Adaptation with Context-aware Exploration
18. ICML 2024Feedback Loops With Language Models Drive In-Context Reward Hacking
19. ICML 2024Generalization to New Sequential Decision Making Tasks with In-Context Learning
20. ICML 2024GistScore: Learning Better Representations for In-Context Example Selection with Gist Bottlenecks
21. ICML 2024Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition
22. ICML 2024How do Transformers Perform In-Context Autoregressive Learning ?
23. ICML 2024In-context Convergence of Transformers
24. ICML 2024In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought
25. ICML 2024In-Context Language Learning: Architectures and Algorithms
26. ICML 2024In-Context Learning Agents Are Asymmetric Belief Updaters
27. ICML 2024In-context Learning on Function Classes Unveiled for Transformers
28. ICML 2024In-Context Principle Learning from Mistakes
29. ICML 2024In-Context Unlearning: Language Models as Few-Shot Unlearners
30. ICML 2024In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering
31. ICML 2024Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective
32. ICML 2024Language Models as Science Tutors
33. ICML 2024Learning Label Shift Correction for Test-Agnostic Long-Tailed Recognition
34. ICML 2024Linguistic Calibration of Long-Form Generations
35. ICML 2024LLM Maybe LongLM: SelfExtend LLM Context Window Without Tuning
36. ICML 2024LoCoCo: Dropping In Convolutions for Long Context Compression
37. ICML 2024Long Range Propagation on Continuous-Time Dynamic Graphs
38. ICML 2024Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts
39. ICML 2024LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens
40. ICML 2024Loss Shaping Constraints for Long-Term Time Series Forecasting
41. ICML 2024Memory Consolidation Enables Long-Context Video Understanding
42. ICML 2024Meta-Reinforcement Learning Robust to Distributional Shift Via Performing Lifelong In-Context Learning
43. ICML 2024PICLe: Eliciting Diverse Behaviors from Large Language Models with Persona In-Context Learning
44. ICML 2024PolySketchFormer: Fast Transformers via Sketching Polynomial Kernels
45. ICML 2024Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities
46. ICML 2024Position: Do pretrained Transformers Learn In-Context by Gradient Descent?
47. ICML 2024Position: Key Claims in LLM Research Have a Long Tail of Footnotes
48. ICML 2024QUEST: Query-Aware Sparsity for Efficient Long-Context LLM Inference
49. ICML 2024Rethinking Adversarial Robustness in the Context of the Right to be Forgotten
50. ICML 2024Short-Long Convolutions Help Hardware-Efficient Linear Attention to Focus on Long Sequences

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.