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 4 of 6

151. NeurIPS 2025FLAME: Fast Long-context Adaptive Memory for Event-based Vision
152. NeurIPS 2025FlashMD: long-stride, universal prediction of molecular dynamics
153. NeurIPS 2025FlexSelect: Flexible Token Selection for Efficient Long Video Understanding
154. NeurIPS 2025From Softmax to Score: Transformers Can Effectively Implement In-Context Denoising Steps
155. NeurIPS 2025Hardware-aligned Hierarchical Sparse Attention for Efficient Long-term Memory Access
156. NeurIPS 2025Hierachical Balance Packing: Towards Efficient Supervised Fine-tuning for Long-Context LLM
157. NeurIPS 2025Hierarchical Demonstration Order Optimization for Many-shot In-Context Learning
158. NeurIPS 2025Hierarchical Implicit Neural Emulators
159. NeurIPS 2025HiFC: High-efficiency Flash-based KV Cache Swapping for Scaling LLM Inference
160. NeurIPS 2025Homogeneous Keys, Heterogeneous Values: Exploiting Local KV Cache Asymmetry for Long-Context LLMs
161. NeurIPS 2025HoPE: Hybrid of Position Embedding for Long Context Vision-Language Models
162. NeurIPS 2025How Data Mixing Shapes In-Context Learning: Asymptotic Equivalence for Transformers with MLPs
163. NeurIPS 2025In-Context Compositional Learning vis Sparse Coding Transformer
164. NeurIPS 2025In-Context Learning Strategies Emerge Rationally
165. NeurIPS 2025KeyDiff: Key Similarity-Based KV Cache Eviction for Long-Context LLM Inference in Resource-Constrained Environments
166. NeurIPS 2025Know Thyself by Knowing Others: Learning Neuron Identity from Population Context
167. NeurIPS 2025KVzip: Query-Agnostic KV Cache Compression with Context Reconstruction
168. NeurIPS 2025L-MTP: Leap Multi-Token Prediction Beyond Adjacent Context for Large Language Models
169. NeurIPS 2025L$^2$M: Mutual Information Scaling Law for Long-Context Language Modeling
170. NeurIPS 2025Language Models (Mostly) Know When to Stop Reading
171. NeurIPS 2025Learning to Focus: Causal Attention Distillation via Gradient‐Guided Token Pruning
172. NeurIPS 2025Let Me Think! A Long Chain of Thought Can Be Worth Exponentially Many Short Ones
173. NeurIPS 2025Linear Transformers Implicitly Discover Unified Numerical Algorithms
174. NeurIPS 2025Long-Tailed Recognition via Information-Preservable Two-Stage Learning
175. NeurIPS 2025Long-tailed Recognition with Model Rebalancing
176. NeurIPS 2025Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoning
177. NeurIPS 2025LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions
178. NeurIPS 2025LooGLE v2: Are LLMs Ready for Real World Long Dependency Challenges?
179. NeurIPS 2025Measuring AI Ability to Complete Long Software Tasks
180. NeurIPS 2025MoBA: Mixture of Block Attention for Long-Context LLMs
181. NeurIPS 2025MoFo: Empowering Long-term Time Series Forecasting with Periodic Pattern Modeling
182. NeurIPS 2025Multipole Attention for Efficient Long Context Reasoning
183. NeurIPS 2025MultiScale Contextual Bandits for Long Term Objectives
184. NeurIPS 2025NeedleInATable: Exploring Long-Context Capability of Large Language Models towards Long-Structured Tables
185. NeurIPS 2025Omni-DNA: A Genomic Model Supporting Sequence Understanding, Long-context, and Textual Annotation
186. NeurIPS 2025Overcoming Long Context Limitations of State Space Models via Context Dependent Sparse Attention
187. NeurIPS 2025PaceLLM: Brain-Inspired Large Language Models for Long-Context Understanding
188. NeurIPS 2025PHANTOM: A Benchmark for Hallucination Detection in Financial Long-Context QA
189. NeurIPS 2025Pre-trained Large Language Models Learn to Predict Hidden Markov Models In-context
190. NeurIPS 2025Predicting Functional Brain Connectivity with Context-Aware Deep Neural Networks
191. NeurIPS 2025Principled Long-Tailed Generative Modeling via Diffusion Models
192. NeurIPS 2025R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing
193. NeurIPS 2025ReCAP: Recursive Context-Aware Reasoning and Planning for Large Language Model Agents
194. NeurIPS 2025RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
195. NeurIPS 2025Retrospective In-Context Learning for Temporal Credit Assignment with Large Language Models
196. NeurIPS 2025Revisiting Glorot Initialization for Long-Range Linear Recurrences
197. NeurIPS 2025Robust Ego-Exo Correspondence with Long-Term Memory
198. NeurIPS 2025Rope to Nope and Back Again: A New Hybrid Attention Strategy
199. NeurIPS 2025SALoM: Structure Aware Temporal Graph Networks with Long-Short Memory Updater
200. NeurIPS 2025Scalable In-context Ranking with Generative 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.