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 4 of 5

151. ICLR 2025Scaling Long Context Training Data by Long-Distance Referrals
152. ICLR 2025SCBench: A KV Cache-Centric Analysis of Long-Context Methods
153. ICLR 2025Scrutinize What We Ignore: Reining In Task Representation Shift Of Context-Based Offline Meta Reinforcement Learning
154. ICLR 2025Self-Updatable Large Language Models by Integrating Context into Model Parameters
155. ICLR 2025TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting
156. ICLR 2025Timer-XL: Long-Context Transformers for Unified Time Series Forecasting
157. ICLR 2025Towards Learning High-Precision Least Squares Algorithms with Sequence Models
158. ICLR 2025Training Free Exponential Context Extension via Cascading KV Cache
159. ICLR 2025Transformers are Universal In-context Learners
160. ICLR 2025Transformers Handle Endogeneity in In-Context Linear Regression
161. ICLR 2025Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing
162. ICLR 2025Unsupervised Meta-Learning via In-Context Learning
163. ICLR 2025Vector-ICL: In-context Learning with Continuous Vector Representations
164. ICLR 2025VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning
165. ICLR 2025Wavelet-based Positional Representation for Long Context
166. ICLR 2025What is Wrong with Perplexity for Long-context Language Modeling?
167. ICLR 2025Why Does the Effective Context Length of LLMs Fall Short?
168. ICLR 2025Why In-Context Learning Models are Good Few-Shot Learners?
169. ICLR 2025ZETA: Leveraging $Z$-order Curves for Efficient Top-$k$ Attention
170. ICLR 2024A Benchmark for Learning to Translate a New Language from One Grammar Book
171. ICLR 2024AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents
172. ICLR 2024AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos?
173. ICLR 2024BooookScore: A systematic exploration of book-length summarization in the era of LLMs
174. ICLR 2024CausalLM is not optimal for in-context learning
175. ICLR 2024CLEX: Continuous Length Extrapolation for Large Language Models
176. ICLR 2024Compressed Context Memory for Online Language Model Interaction
177. ICLR 2024Context is Environment
178. ICLR 2024Context-Aware Meta-Learning
179. ICLR 2024Equivariant Matrix Function Neural Networks
180. ICLR 2024FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data
181. ICLR 2024FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor Cores
182. ICLR 2024Function Vectors in Large Language Models
183. ICLR 2024Functional Interpolation for Relative Positions improves Long Context Transformers
184. ICLR 2024Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs
185. ICLR 2024How do Language Models Bind Entities in Context?
186. ICLR 2024HyperAttention: Long-context Attention in Near-Linear Time
187. ICLR 2024IceFormer: Accelerated Inference with Long-Sequence Transformers on CPUs
188. ICLR 2024IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models
189. ICLR 2024In-context Autoencoder for Context Compression in a Large Language Model
190. ICLR 2024In-Context Learning Learns Label Relationships but Is Not Conventional Learning
191. ICLR 2024In-Context Learning through the Bayesian Prism
192. ICLR 2024In-Context Pretraining: Language Modeling Beyond Document Boundaries
193. ICLR 2024Is attention required for ICL? Exploring the Relationship Between Model Architecture and In-Context Learning Ability
194. ICLR 2024Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-tailed Learning
195. ICLR 2024Language Modeling Is Compression
196. ICLR 2024Long-tailed Diffusion Models with Oriented Calibration
197. ICLR 2024LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
198. ICLR 2024Looped Transformers are Better at Learning Learning Algorithms
199. ICLR 2024MEND: Meta Demonstration Distillation for Efficient and Effective In-Context Learning
200. ICLR 2024Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors

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.