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

176 papers, page 4 of 4

151. NeurIPS 2024LongVideoBench: A Benchmark for Long-context Interleaved Video-Language Understanding
152. NeurIPS 2024Make Your LLM Fully Utilize the Context
153. NeurIPS 2024MambaLRP: Explaining Selective State Space Sequence Models
154. NeurIPS 2024Many-Shot In-Context Learning
155. NeurIPS 2024Many-shot Jailbreaking
156. NeurIPS 2024Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length
157. NeurIPS 2024MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention
158. NeurIPS 2024Mini-Sequence Transformers: Optimizing Intermediate Memory for Long Sequences Training
159. NeurIPS 2024Mixture of In-Context Experts Enhance LLMs' Long Context Awareness
160. NeurIPS 2024MMLONGBENCH-DOC: Benchmarking Long-context Document Understanding with Visualizations
161. NeurIPS 2024Needle In A Multimodal Haystack
162. NeurIPS 2024Neural P$^3$M: A Long-Range Interaction Modeling Enhancer for Geometric GNNs
163. NeurIPS 2024One-Layer Transformer Provably Learns One-Nearest Neighbor In Context
164. NeurIPS 2024Opponent Modeling with In-context Search
165. NeurIPS 2024Pretrained Transformer Efficiently Learns Low-Dimensional Target Functions In-Context
166. NeurIPS 2024Probing the Decision Boundaries of In-context Learning in Large Language Models
167. NeurIPS 2024Reparameterized Multi-Resolution Convolutions for Long Sequence Modelling
168. NeurIPS 2024Robust Sleep Staging over Incomplete Multimodal Physiological Signals via Contrastive Imagination
169. NeurIPS 2024Selective Attention: Enhancing Transformer through Principled Context Control
170. NeurIPS 2024StreamingDialogue: Prolonged Dialogue Learning via Long Context Compression with Minimal Losses
171. NeurIPS 2024Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack
172. NeurIPS 2024The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains
173. NeurIPS 2024The GAN is dead; long live the GAN! A Modern GAN Baseline
174. NeurIPS 2024Transformers are Minimax Optimal Nonparametric In-Context Learners
175. NeurIPS 2024Universal In-Context Approximation By Prompting Fully Recurrent Models
176. NeurIPS 2024xLSTM: Extended Long Short-Term Memory

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.