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 6 of 6

251. NeurIPS 2024Linear Transformers are Versatile In-Context Learners
252. NeurIPS 2024Long-range Brain Graph Transformer
253. NeurIPS 2024Long-Range Feedback Spiking Network Captures Dynamic and Static Representations of the Visual Cortex under Movie Stimuli
254. NeurIPS 2024Long-tailed Object Detection Pretraining: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction
255. NeurIPS 2024LongVideoBench: A Benchmark for Long-context Interleaved Video-Language Understanding
256. NeurIPS 2024Make Your LLM Fully Utilize the Context
257. NeurIPS 2024MambaLRP: Explaining Selective State Space Sequence Models
258. NeurIPS 2024Many-Shot In-Context Learning
259. NeurIPS 2024Many-shot Jailbreaking
260. NeurIPS 2024Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length
261. NeurIPS 2024MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention
262. NeurIPS 2024Mini-Sequence Transformers: Optimizing Intermediate Memory for Long Sequences Training
263. NeurIPS 2024Mixture of In-Context Experts Enhance LLMs' Long Context Awareness
264. NeurIPS 2024MMLONGBENCH-DOC: Benchmarking Long-context Document Understanding with Visualizations
265. NeurIPS 2024Needle In A Multimodal Haystack
266. NeurIPS 2024Neural P$^3$M: A Long-Range Interaction Modeling Enhancer for Geometric GNNs
267. NeurIPS 2024One-Layer Transformer Provably Learns One-Nearest Neighbor In Context
268. NeurIPS 2024Opponent Modeling with In-context Search
269. NeurIPS 2024Pretrained Transformer Efficiently Learns Low-Dimensional Target Functions In-Context
270. NeurIPS 2024Probing the Decision Boundaries of In-context Learning in Large Language Models
271. NeurIPS 2024Reparameterized Multi-Resolution Convolutions for Long Sequence Modelling
272. NeurIPS 2024Robust Sleep Staging over Incomplete Multimodal Physiological Signals via Contrastive Imagination
273. NeurIPS 2024Selective Attention: Enhancing Transformer through Principled Context Control
274. NeurIPS 2024StreamingDialogue: Prolonged Dialogue Learning via Long Context Compression with Minimal Losses
275. NeurIPS 2024Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack
276. NeurIPS 2024The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains
277. NeurIPS 2024The GAN is dead; long live the GAN! A Modern GAN Baseline
278. NeurIPS 2024Transformers are Minimax Optimal Nonparametric In-Context Learners
279. NeurIPS 2024Universal In-Context Approximation By Prompting Fully Recurrent Models
280. NeurIPS 2024xLSTM: Extended Long Short-Term Memory
281. NeurIPS 2023A Single 2D Pose with Context is Worth Hundreds for 3D Human Pose Estimation
282. NeurIPS 2023Blockwise Parallel Transformers for Large Context Models
283. NeurIPS 2023Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars
284. NeurIPS 2023Context-lumpable stochastic bandits
285. NeurIPS 2023Context-PIPs: Persistent Independent Particles Demands Spatial Context Features
286. NeurIPS 2023Digital Typhoon: Long-term Satellite Image Dataset for the Spatio-Temporal Modeling of Tropical Cyclones
287. NeurIPS 2023Explore In-Context Learning for 3D Point Cloud Understanding
288. NeurIPS 2023Focused Transformer: Contrastive Training for Context Scaling
289. NeurIPS 2023HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution
290. NeurIPS 2023Meta-in-context learning in large language models
291. NeurIPS 2023On the Role of Noise in the Sample Complexity of Learning Recurrent Neural Networks: Exponential Gaps for Long Sequences
292. NeurIPS 2023PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers
293. NeurIPS 2023PRODIGY: Enabling In-context Learning Over Graphs
294. NeurIPS 2023Recursion in Recursion: Two-Level Nested Recursion for Length Generalization with Scalability
295. NeurIPS 2023SutraNets: Sub-series Autoregressive Networks for Long-Sequence, Probabilistic Forecasting
296. NeurIPS 2023Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection
297. NeurIPS 2023Unlimiformer: Long-Range Transformers with Unlimited Length Input
298. NeurIPS 2023Would I have gotten that reward? Long-term credit assignment by counterfactual contribution analysis

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.