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 5 of 5

201. ICLR 2024One Step of Gradient Descent is Provably the Optimal In-Context Learner with One Layer of Linear Self-Attention
202. ICLR 2024Periodicity Decoupling Framework for Long-term Series Forecasting
203. ICLR 2024PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training
204. ICLR 2024RECOMP: Improving Retrieval-Augmented LMs with Context Compression and Selective Augmentation
205. ICLR 2024Retrieval meets Long Context Large Language Models
206. ICLR 2024RingAttention with Blockwise Transformers for Near-Infinite Context
207. ICLR 2024Robustifying State-space Models for Long Sequences via Approximate Diagonalization
208. ICLR 2024Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns
209. ICLR 2024The Cost of Scaling Down Large Language Models: Reducing Model Size Affects Memory before In-context Learning
210. ICLR 2024Towards Offline Opponent Modeling with In-context Learning
211. ICLR 2024Transformer-VQ: Linear-Time Transformers via Vector Quantization
212. ICLR 2024YaRN: Efficient Context Window Extension of Large Language Models
213. ICLR 2023$k$NN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference
214. ICLR 2023Artificial Neuronal Ensembles with Learned Context Dependent Gating
215. ICLR 2023CUDA: Curriculum of Data Augmentation for Long-tailed Recognition
216. ICLR 2023Decoupled Training for Long-Tailed Classification With Stochastic Representations
217. ICLR 2023Delving into Semantic Scale Imbalance
218. ICLR 2023Evaluating Long-Term Memory in 3D Mazes
219. ICLR 2023Generate rather than Retrieve: Large Language Models are Strong Context Generators
220. ICLR 2023In-context Reinforcement Learning with Algorithm Distillation
221. ICLR 2023Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models
222. ICLR 2023Long Range Language Modeling via Gated State Spaces
223. ICLR 2023Long-Tailed Learning Requires Feature Learning
224. ICLR 2023Long-Tailed Partial Label Learning via Dynamic Rebalancing
225. ICLR 2023MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting
226. ICLR 2023On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning.
227. ICLR 2023Simplified State Space Layers for Sequence Modeling
228. ICLR 2023Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors
229. ICLR 2023What learning algorithm is in-context learning? Investigations with linear models
230. ICLR 2023What Makes Convolutional Models Great on Long Sequence Modeling?

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.