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

341 papers, page 3 of 7

101. ICLR 2026SoLoPO: Unlocking Long-Context Capabilities in LLMs via Short-to-Long Preference Optimization
102. ICLR 2026Stacked from One: Multi-Scale Self-Injection for Context Window Extension
103. ICLR 2026Story-Iter: A Training-free Iterative Paradigm for Long Story Visualization
104. ICLR 2026SWINGARENA: Adversarial Programming Arena for Long-context GitHub Issue Solving
105. ICLR 2026Tactic: Adaptive Sparse Attention with Clustering and Distribution Fitting for Long-Context LLMs
106. ICLR 2026TAPTRv3: Spatial and Temporal Context Foster Robust Tracking of Any Point in Long Video
107. ICLR 2026Test-Time Training Done Right
108. ICLR 2026Transformers Learn Latent Mixture Models In-Context via Mirror Descent
109. ICLR 2026UltraLLaDA: Scaling the Context Length to 128K for Diffusion Large Language Models
110. ICLR 2026UltraMemV2: Memory Networks Scaling to 120B Parameters with Superior Long-Context Learning
111. ICLR 2026Understanding and Improving Length Generalization in Hierarchical Sparse Attention Models
112. ICLR 2026VideoChat-Flash: Hierarchical Compression for Long-Context Video Modeling
113. ICLR 2026When Does Divide and Conquer Work for Long Context LLM? A Noise Decomposition Framework
114. ICML 2026ACON: Optimizing Context Compression for Long-horizon LLM Agents
115. ICML 2026AdaSplash-2: Faster Differentiable Sparse Attention
116. ICML 2026Artificial Hippocampus Networks for Efficient Long-Context Modeling
117. ICML 2026ATLAS: Learning to Optimally Memorize the Context at Test Time
118. ICML 2026Auto-regressive In-context Demonstration Selection
119. ICML 2026BubbleSpec: Turning Long-Tail Bubbles into Speculative Rollout Drafts for Synchronous Reinforcement Learning
120. ICML 2026CLAA: Cross-Layer Attention Aggregation for Accelerating LLM Prefill
121. ICML 2026CoMem: Context Management with A Decoupled Long-Context Model
122. ICML 2026Context Forcing: Consistent Autoregressive Video Generation with Long Context
123. ICML 2026Context-Driven Incremental Compression for Multi-Turn Dialogue Generation
124. ICML 2026Context-free Recognition with Transformers
125. ICML 2026Context-level Language Modeling by Learning Predictive Context Embeddings
126. ICML 2026Doc-to-LoRA: Learning to Instantly Internalize Contexts
127. ICML 2026Dustin: Draft-Augmented Sparse Verification for Efficient Long-Context Generation with Speculative Decoding
128. ICML 2026EMFormer: Efficient Multi-Scale Transformer for Accumulative Context Weather Forecasting
129. ICML 2026EpiCache: Episodic KV Cache Management for Long-Term Conversation on Resource-Constrained Environments
130. ICML 2026Evaluating LLM Uncertainty in Long-Form Generation Using Deterministic Ground Truth
131. ICML 2026Fast KV Compaction via Attention Matching
132. ICML 2026Faster Than Flash: Exploiting Attention Sparsity for Efficient Long-Context Decoding
133. ICML 2026FlashBlock: Attention Caching for Efficient Long-Context Block Diffusion
134. ICML 2026ForesightKV: Optimizing KV Cache Eviction for Reasoning Models by Learning Long-Term Contribution
135. ICML 2026FRACTAL: State Space Model with Fractional Recurrent Architecture for Computational Temporal Analysis of Long Sequences
136. ICML 2026FunCQNet: A Functional Censored Quantile Neural Network for Predicting Long-Term Post-Transplant Kidney Survival
137. ICML 2026GradMem: Learning to Write Context into Memory with Test-Time Gradient Descent
138. ICML 2026Guidance: Sentence-Level Citation Enforcement via Prefix-Tail Guidance during LLM Decoding
139. ICML 2026HGMem: Hypergraph-based Working Memory to Improve Multi-step RAG for Long-Context Complex Relational Modeling
140. ICML 2026HiCI: Hierarchical Construction–Integration for Long-Context Attention
141. ICML 2026How Does the Pretraining Distribution Shape In-Context Learning? A Fundamental Trade-Off
142. ICML 2026How Many Different Outputs Can a Transformer Generate?
143. ICML 2026How Transformers Represent Hierarchies: A Local-to-Global Mechanism
144. ICML 2026IndexMem: Learned KV-Cache Eviction with Latent Memory for Long-Context LLM Inference
145. ICML 2026Induction Heads Interpolate N-Grams
146. ICML 2026InfoFlow KV: Information-Flow-Aware KV Recomputation for Long Context
147. ICML 2026KnapSpec: Self-Speculative Decoding via Adaptive Layer Selection as a Knapsack Problem
148. ICML 2026L-CUBE: Isolating Long-Context Capacity from Knowledge with Controllable Mutual Information Scaling
149. ICML 2026L-Drive: Beyond a Single Mapping—Latent Context Drives Time Series Forecasting
150. ICML 2026Learning When to Attend: Conditional Memory Access for Long-Context LLMs

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.