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

230 papers, page 1 of 5

1. ICLR 2026Adversarially Pretrained Transformers may be Universally Robust In-Context Learners
2. ICLR 2026AgentFold: Long-Horizon Web Agents with Proactive Context Folding
3. ICLR 2026Agentic Context Engineering: Learning Comprehensive Contexts for Self-Improving Language Models
4. ICLR 2026AMemGym: Interactive Memory Benchmarking for Assistants in Long-Horizon Conversations
5. ICLR 2026An evolutionary perspective on modes of learning in Transformers
6. ICLR 2026Autoencoding-Free Context Compression for LLMs via Contextual Semantic Anchors
7. ICLR 2026AutoSP: Unlocking Long-Context LLM Training Via Compiler-Based Sequence Parallelism
8. ICLR 2026Bayesian Attention Mechanism: A Probabilistic Framework for Positional Encoding and Context Length Extrapolation
9. ICLR 2026Beyond Length: Quantifying Long-Range Information for Long-Context LLM Pretraining Data
10. ICLR 2026Beyond RAG vs. Long-Context: Learning Distraction-Aware Retrieval for Efficient Knowledge Grounding
11. ICLR 2026Beyond Real: Imaginary Extension of Rotary Position Embeddings for Long-Context LLMs
12. ICLR 2026Cache What Lasts: Token Retention for Memory-Bounded KV Cache in LLMs
13. ICLR 2026Cartridges: Lightweight and general-purpose long context representations via self-study
14. ICLR 2026CDBridge: A Cross-omics Post-training Bridge Strategy for Context-aware Biological Modeling
15. ICLR 2026Channel-Aware Mixed-Precision Quantization for Efficient Long-Context Inference
16. ICLR 2026COMI: Coarse-to-fine Context Compression via Marginal Information Gain
17. ICLR 2026Context and Diversity Matter: The Emergence of In-Context Learning in World Models
18. ICLR 2026ContextNav: Towards Agentic Multimodal In-Context Learning
19. ICLR 2026Continuum Transformers Perform In-Context Learning by Operator Gradient Descent
20. ICLR 2026Critical attention scaling in long-context transformers
21. ICLR 2026Draft-based Approximate Inference for LLMs
22. ICLR 2026DSSA: Dense-Sparse Switchable Attention for Seamless Short-to-Long Adaptation
23. ICLR 2026ECHO: Toward Contextual Seq2Seq Paradigms in Large EEG Models
24. ICLR 2026EntropyLong: Effective Long-Context Training via Predictive Uncertainty
25. ICLR 2026Extending the Context of Pretrained LLMs by Dropping Their Positional Embedding
26. ICLR 2026Frayed RoPE and Long Inputs: A Geometric Perspective
27. ICLR 2026FreqKV: Key-Value Compression in Frequency Domain for Context Window Extension
28. ICLR 2026From Collapse to Control: Understanding and Extending Context Length in Emerging Hybrid Models via Universal Position Interpolation
29. ICLR 2026From Markov to Laplace: How Mamba In-Context Learns Markov Chains
30. ICLR 2026FSA: An Alternative Efficient Implementation of Native Sparse Attention Kernel
31. ICLR 2026Generative Diffusion Prior Distillation for Long-Context Knowledge Transfer
32. ICLR 2026Improving Long-Range Interactions in Graph Neural Simulators via Hamiltonian Dynamics
33. ICLR 2026In-Context Algebra
34. ICLR 2026In-Context Algorithm Emulation in Fixed-Weight Transformers
35. ICLR 2026Inferring brain plasticity rule under long-term stimulation with structured recurrent dynamics
36. ICLR 2026InftyThink: Breaking the Length Limits of Long-Context Reasoning in Large Language Models
37. ICLR 2026Intrinsic Entropy of Context Length Scaling in LLMs
38. ICLR 2026Is In-Context Learning Learning?
39. ICLR 2026IterResearch: Rethinking Long-Horizon Agents via Markovian State Reconstruction
40. ICLR 2026Learning to Adapt: In-Context Learning Beyond Stationarity
41. ICLR 2026Let's (not) just put things in Context: Test-time Training for Long-context LLMs
42. ICLR 2026Long-Context Attention Benchmark: From Kernel Efficiency to Distributed Context Parallelism
43. ICLR 2026Long-Context Generalization with Sparse Attention
44. ICLR 2026Long-range Modeling and Processing of Multimodal Event Sequences
45. ICLR 2026LongRLVR: Long-Context Reinforcement Learning Requires Verifiable Context Rewards
46. ICLR 2026LoongRL: Reinforcement Learning for Advanced Reasoning over Long Contexts
47. ICLR 2026LycheeDecode: Accelerating Long-Context LLM Inference via Hybrid-Head Sparse Decoding
48. ICLR 2026MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent
49. ICLR 2026Mini-cluster Guided Long-tailed Deep Clustering
50. ICLR 2026MMReD: a Cross-Modal Benchmark for Dense Context Reasoning

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.