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

226 papers, page 5 of 5

201. ICML 2024Short-Long Convolutions Help Hardware-Efficient Linear Attention to Focus on Long Sequences
202. ICML 2024SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning
203. ICML 2024SIN: Selective and Interpretable Normalization for Long-Term Time Series Forecasting
204. ICML 2024SparseTSF: Modeling Long-term Time Series Forecasting with *1k* Parameters
205. ICML 2024Training-Free Long-Context Scaling of Large Language Models
206. ICML 2024Transformers Implement Functional Gradient Descent to Learn Non-Linear Functions In Context
207. ICML 2024Transformers Learn Nonlinear Features In Context: Nonconvex Mean-field Dynamics on the Attention Landscape
208. ICML 2024Viewing Transformers Through the Lens of Long Convolutions Layers
209. ICML 2024What is the Long-Run Distribution of Stochastic Gradient Descent? A Large Deviations Analysis
210. ICML 2024Why Larger Language Models Do In-context Learning Differently?
211. ICML 2024xT: Nested Tokenization for Larger Context in Large Images
212. ICML 2023A Critical View of Vision-Based Long-Term Dynamics Prediction Under Environment Misalignment
213. ICML 2023CAB: Comprehensive Attention Benchmarking on Long Sequence Modeling
214. ICML 2023Context Consistency Regularization for Label Sparsity in Time Series
215. ICML 2023Controlled Differential Equations on Long Sequences via Non-standard Wavelets
216. ICML 2023DevFormer: A Symmetric Transformer for Context-Aware Device Placement
217. ICML 2023FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning
218. ICML 2023Global Context Vision Transformers
219. ICML 2023Large Language Models Struggle to Learn Long-Tail Knowledge
220. ICML 2023Long Horizon Temperature Scaling
221. ICML 2023Long-Term Rhythmic Video Soundtracker
222. ICML 2023LongCoder: A Long-Range Pre-trained Language Model for Code Completion
223. ICML 2023Resurrecting Recurrent Neural Networks for Long Sequences
224. ICML 2023Robust Situational Reinforcement Learning in Face of Context Disturbances
225. ICML 2023Simple Hardware-Efficient Long Convolutions for Sequence Modeling
226. ICML 2023Transformers Learn In-Context by Gradient Descent

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.