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 1 of 6

1. CVPR 2025BIMBA: Selective-Scan Compression for Long-Range Video Question Answering
2. CVPR 2025Chapter-Llama: Efficient Chaptering in Hour-Long Videos with LLMs
3. CVPR 2025Context-Enhanced Memory-Refined Transformer for Online Action Detection
4. CVPR 2025Distilling Long-tailed Datasets
5. CVPR 2025Fractal Calibration for Long-tailed Object Detection
6. CVPR 2025From Head to Tail: Efficient Black-box Model Inversion Attack via Long-tailed Learning
7. CVPR 2025GA3CE: Unconstrained 3D Gaze Estimation with Gaze-Aware 3D Context Encoding
8. CVPR 2025HOIGPT: Learning Long-Sequence Hand-Object Interaction with Language Models
9. CVPR 2025Learning from Neighbors: Category Extrapolation for Long-Tail Learning
10. CVPR 2025LOCORE: Image Re-ranking with Long-Context Sequence Modeling
11. CVPR 2025Lost in Translation, Found in Context: Sign Language Translation with Contextual Cues
12. CVPR 2025Mimic In-Context Learning for Multimodal Tasks
13. CVPR 2025Neural Video Compression with Context Modulation
14. CVPR 2025OverLoCK: An Overview-first-Look-Closely-next ConvNet with Context-Mixing Dynamic Kernels
15. CVPR 2025Precise Event Spotting in Sports Videos: Solving Long-Range Dependency and Class Imbalance
16. CVPR 2025TAET: Two-Stage Adversarial Equalization Training on Long-Tailed Distributions
17. CVPR 2025Tokenize Image Patches: Global Context Fusion for Effective Haze Removal in Large Images
18. ICLR 2025$\text{D}_{2}\text{O}$: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models
19. ICLR 2025A Causal Lens for Learning Long-term Fair Policies
20. ICLR 2025A Little Goes a Long Way: Efficient Long Context Training and Inference with Partial Contexts
21. ICLR 2025A Training-Free Sub-quadratic Cost Transformer Model Serving Framework with Hierarchically Pruned Attention
22. ICLR 2025BenTo: Benchmark Reduction with In-Context Transferability
23. ICLR 2025Bridging Context Gaps: Leveraging Coreference Resolution for Long Contextual Understanding
24. ICLR 2025Can Generative AI Solve Your In-Context Learning Problem? A Martingale Perspective
25. ICLR 2025Can In-context Learning Really Generalize to Out-of-distribution Tasks?
26. ICLR 2025Can LLMs Really Learn to Translate a Low-Resource Language from One Grammar Book?
27. ICLR 2025ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities
28. ICLR 2025Competition Dynamics Shape Algorithmic Phases of In-Context Learning
29. ICLR 2025Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHR Data
30. ICLR 2025Context-Parametric Inversion: Why Instruction Finetuning May Not Actually Improve Context Reliance
31. ICLR 2025CURIE: Evaluating LLMs on Multitask Scientific Long-Context Understanding and Reasoning
32. ICLR 2025DeciMamba: Exploring the Length Extrapolation Potential of Mamba
33. ICLR 2025Density estimation with LLMs: a geometric investigation of in-context learning trajectories
34. ICLR 2025Differential learning kinetics govern the transition from memorization to generalization during in-context learning
35. ICLR 2025Dual Process Learning: Controlling Use of In-Context vs. In-Weights Strategies with Weight Forgetting
36. ICLR 2025DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads
37. ICLR 2025FlashMask: Efficient and Rich Mask Extension of FlashAttention
38. ICLR 2025FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference
39. ICLR 2025Forgetting Transformer: Softmax Attention with a Forget Gate
40. ICLR 2025From Artificial Needles to Real Haystacks: Improving Retrieval Capabilities in LLMs by Finetuning on Synthetic Data
41. ICLR 2025Gated Delta Networks: Improving Mamba2 with Delta Rule
42. ICLR 2025GLoRa: A Benchmark to Evaluate the Ability to Learn Long-Range Dependencies in Graphs
43. ICLR 2025HELMET: How to Evaluate Long-context Models Effectively and Thoroughly
44. ICLR 2025Holistic Reasoning with Long-Context LMs: A Benchmark for Database Operations on Massive Textual Data
45. ICLR 2025HOPE for a Robust Parameterization of Long-memory State Space Models
46. ICLR 2025Human-inspired Episodic Memory for Infinite Context LLMs
47. ICLR 2025ICLR: In-Context Learning of Representations
48. ICLR 2025Implicit In-context Learning
49. ICLR 2025In-context Time Series Predictor
50. ICLR 2025Inference Scaling for Long-Context Retrieval Augmented Generation

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.