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

98 papers, page 1 of 2

1. ICML 2026ACON: Optimizing Context Compression for Long-horizon LLM Agents
2. ICML 2026AdaSplash-2: Faster Differentiable Sparse Attention
3. ICML 2026Artificial Hippocampus Networks for Efficient Long-Context Modeling
4. ICML 2026ATLAS: Learning to Optimally Memorize the Context at Test Time
5. ICML 2026Auto-regressive In-context Demonstration Selection
6. ICML 2026BubbleSpec: Turning Long-Tail Bubbles into Speculative Rollout Drafts for Synchronous Reinforcement Learning
7. ICML 2026CLAA: Cross-Layer Attention Aggregation for Accelerating LLM Prefill
8. ICML 2026CoMem: Context Management with A Decoupled Long-Context Model
9. ICML 2026Context Forcing: Consistent Autoregressive Video Generation with Long Context
10. ICML 2026Context-Driven Incremental Compression for Multi-Turn Dialogue Generation
11. ICML 2026Context-free Recognition with Transformers
12. ICML 2026Context-level Language Modeling by Learning Predictive Context Embeddings
13. ICML 2026Doc-to-LoRA: Learning to Instantly Internalize Contexts
14. ICML 2026Dustin: Draft-Augmented Sparse Verification for Efficient Long-Context Generation with Speculative Decoding
15. ICML 2026EMFormer: Efficient Multi-Scale Transformer for Accumulative Context Weather Forecasting
16. ICML 2026EpiCache: Episodic KV Cache Management for Long-Term Conversation on Resource-Constrained Environments
17. ICML 2026Evaluating LLM Uncertainty in Long-Form Generation Using Deterministic Ground Truth
18. ICML 2026Fast KV Compaction via Attention Matching
19. ICML 2026Faster Than Flash: Exploiting Attention Sparsity for Efficient Long-Context Decoding
20. ICML 2026FlashBlock: Attention Caching for Efficient Long-Context Block Diffusion
21. ICML 2026ForesightKV: Optimizing KV Cache Eviction for Reasoning Models by Learning Long-Term Contribution
22. ICML 2026FRACTAL: State Space Model with Fractional Recurrent Architecture for Computational Temporal Analysis of Long Sequences
23. ICML 2026FunCQNet: A Functional Censored Quantile Neural Network for Predicting Long-Term Post-Transplant Kidney Survival
24. ICML 2026GradMem: Learning to Write Context into Memory with Test-Time Gradient Descent
25. ICML 2026Guidance: Sentence-Level Citation Enforcement via Prefix-Tail Guidance during LLM Decoding
26. ICML 2026HGMem: Hypergraph-based Working Memory to Improve Multi-step RAG for Long-Context Complex Relational Modeling
27. ICML 2026HiCI: Hierarchical Construction–Integration for Long-Context Attention
28. ICML 2026How Does the Pretraining Distribution Shape In-Context Learning? A Fundamental Trade-Off
29. ICML 2026How Many Different Outputs Can a Transformer Generate?
30. ICML 2026How Transformers Represent Hierarchies: A Local-to-Global Mechanism
31. ICML 2026IndexMem: Learned KV-Cache Eviction with Latent Memory for Long-Context LLM Inference
32. ICML 2026Induction Heads Interpolate N-Grams
33. ICML 2026InfoFlow KV: Information-Flow-Aware KV Recomputation for Long Context
34. ICML 2026KnapSpec: Self-Speculative Decoding via Adaptive Layer Selection as a Knapsack Problem
35. ICML 2026L-CUBE: Isolating Long-Context Capacity from Knowledge with Controllable Mutual Information Scaling
36. ICML 2026L-Drive: Beyond a Single Mapping—Latent Context Drives Time Series Forecasting
37. ICML 2026Learning When to Attend: Conditional Memory Access for Long-Context LLMs
38. ICML 2026LIFT: A Novel Framework for Enhancing Long-Context Understanding of LLMs via Long Input Fine-Tuning
39. ICML 2026LIVE: Long-horizon Interactive Video World Modeling
40. ICML 2026LOCA-bench: Benchmarking Language Agents Under Controllable and Extreme Context Growth
41. ICML 2026Long-Context Modeling with Dynamic Hierarchical Sparse Attention for Memory-Constrained LLM Inference
42. ICML 2026Long-Horizon Model-Based Offline Reinforcement Learning Without Explicit Conservatism
43. ICML 2026LoSA: Locality Aware Sparse Attention in Diffusion Language Models
44. ICML 2026Lost in Context: Adressing Context Anxiety in Large Language Models
45. ICML 2026Many-Shot CoT-ICL: Making In-Context Learning Truly Learn
46. ICML 2026Masks Can Be Distracting: On Context Comprehension in Diffusion Language Models
47. ICML 2026MEG-XL: Data-Efficient Brain-to-Text via Long-Context Pre-Training
48. ICML 2026Meta Context Engineering via Agentic Skill Evolution
49. ICML 2026MGAL: A Multilingual Granularity-Aware Long-Context Benchmark
50. ICML 2026Modeling Long-Tail Relations in the Operating Room via In-Context Multimodal Learning

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.