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

298 papers, page 5 of 6

201. NeurIPS 2025Scale-invariant attention
202. NeurIPS 2025SeerAttention: Self-distilled Attention Gating for Efficient Long-context Prefilling
203. NeurIPS 2025Short-length Adversarial Training Helps LLMs Defend Long-length Jailbreak Attacks: Theoretical and Empirical Evidence
204. NeurIPS 2025Skrull: Towards Efficient Long Context Fine-tuning through Dynamic Data Scheduling
205. NeurIPS 2025SkyLadder: Better and Faster Pretraining via Context Window Scheduling
206. NeurIPS 2025StarTrail: Concentric Ring Sequence Parallelism for Efficient Near-Infinite-Context Transformer Model Training
207. NeurIPS 2025StateSpaceDiffuser: Bringing Long Context to Diffusion World Models
208. NeurIPS 2025Streaming Attention Approximation via Discrepancy Theory
209. NeurIPS 2025Technical Debt in In-Context Learning: Diminishing Efficiency in Long Context
210. NeurIPS 2025Temporal Chain of Thought: Long-Video Understanding by Thinking in Frames
211. NeurIPS 2025Theoretical Insights into In-context Learning with Unlabeled Data
212. NeurIPS 2025Thoughts Are All Over the Place: On the Underthinking of Long Reasoning Models
213. NeurIPS 2025TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning
214. NeurIPS 2025Titans: Learning to Memorize at Test Time
215. NeurIPS 2025Towards Predicting Any Human Trajectory In Context
216. NeurIPS 2025Towards Provable Emergence of In-Context Reinforcement Learning
217. NeurIPS 2025Trained Mamba Emulates Online Gradient Descent in In-Context Linear Regression
218. NeurIPS 2025True Zero-Shot Inference of Dynamical Systems Preserving Long-Term Statistics
219. NeurIPS 2025UniGist: Towards General and Hardware-aligned Sequence-level Long Context Compression
220. NeurIPS 2025Unlabeled Data Can Provably Enhance In-Context Learning of Transformers
221. NeurIPS 2025Unleashing Hour-Scale Video Training for Long Video-Language Understanding
222. NeurIPS 2025Unveiling the Spatial-temporal Effective Receptive Fields of Spiking Neural Networks
223. NeurIPS 2025Variance-Reduced Long-Term Rehearsal Learning with Quadratic Programming Reformulation
224. NeurIPS 2025Vision-centric Token Compression in Large Language Model
225. NeurIPS 2025Vocabulary In-Context Learning in Transformers: Benefits of Positional Encoding
226. NeurIPS 2025WaLRUS: Wavelets for Long range Representation Using State Space Methods
227. NeurIPS 2025WorldMem: Long-term Consistent World Simulation with Memory
228. NeurIPS 2025ZeCO: Zero-Communication Overhead Sequence Parallelism for Linear Attention
229. NeurIPS 2024[Re] CUDA: Curriculum of Data Augmentation for Long‐tailed Recognition
230. NeurIPS 2024An Efficient Recipe for Long Context Extension via Middle-Focused Positional Encoding
231. NeurIPS 2024AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation
232. NeurIPS 2024BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack
233. NeurIPS 2024Balancing Context Length and Mixing Times for Reinforcement Learning at Scale
234. NeurIPS 2024Base of RoPE Bounds Context Length
235. NeurIPS 2024BERTs are Generative In-Context Learners
236. NeurIPS 2024DAPE: Data-Adaptive Positional Encoding for Length Extrapolation
237. NeurIPS 2024Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum
238. NeurIPS 2024Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling
239. NeurIPS 2024Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data
240. NeurIPS 2024Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate
241. NeurIPS 2024Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspective
242. NeurIPS 2024Exploring Context Window of Large Language Models via Decomposed Positional Vectors
243. NeurIPS 2024Flexible Context-Driven Sensory Processing in Dynamical Vision Models
244. NeurIPS 2024Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding
245. NeurIPS 2024Grammar-Aligned Decoding
246. NeurIPS 2024In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness
247. NeurIPS 2024InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory
248. NeurIPS 2024KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
249. NeurIPS 2024Learning Partitions from Context
250. NeurIPS 2024Lever LM: Configuring In-Context Sequence to Lever Large Vision Language Models

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.