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

130 papers, page 1 of 3

1. NeurIPS 2026$\boldsymbol{f}$-OPD: Stabilizing Long-Horizon On-Policy Distillation with Freshness-Aware Control
2. NeurIPS 2026A Self-Evolving Framework for Efficient Terminal Agents via Observational Context Compression
3. NeurIPS 2026A Solvable Model of Chain-of-Thought in In-Context Learning
4. NeurIPS 2026Accelerating Long-Context LLM Prefill via Layer-wise Progressive Token Pruning in Local Deployment
5. NeurIPS 2026AdaCal: Adaptive Calibration for Robust Sparse Attention in Long-Context LLMs
6. NeurIPS 2026Adaptive Mass-Segmented KV Compression for Long-Context Reasoning
7. NeurIPS 2026Align-RAG: Alignment Is All You Need for TSFM In-Context Learning
8. NeurIPS 2026Ask Early, Ask Late, Ask Right: When Does Clarification Timing Matter for Long-Horizon Agents?
9. NeurIPS 2026Attention as In-Context Empirical Bayes: A Two-Stage View via Particle Dynamics
10. NeurIPS 2026Attention Drift: What Auto-Regressive Speculative Decoding Models Learn
11. NeurIPS 2026Attention Itself Could Retrieve. RetrieveVGGT: Training-Free Long Context Streaming 3D Reconstruction via Query-Key Similarity Retrieval
12. NeurIPS 2026Beyond Suspicious Steps: Ontological Trust in Long-Horizon Agents
13. NeurIPS 2026Block Sparse Flash Attention
14. NeurIPS 2026Block-Wise Differentiable Sinkhorn Attention: Tail-Refinement Gradients with a Gap-Aware Dustbin Bridge
15. NeurIPS 2026Breadcrumbing Search Agents: Per-Turn Scheming Over Long-Horizon Trajectories
16. NeurIPS 2026Bridging Risk Approximation Gaps in Model Predictive Task Sampling via In-Context Modeling
17. NeurIPS 2026Can In-Context Learning Support Intrinsic Curiosity?
18. NeurIPS 2026Can Language Models Actually Retrieve In-Context? Drowning in Documents at Million Token Scale
19. NeurIPS 2026CEO-Bench: Can Agents Play the Long Game?
20. NeurIPS 2026Choosing Before Acting: Comparative Value Estimation for Long-Horizon Tool-Use Agents
21. NeurIPS 2026CivBench: A Long-Horizon Benchmark for Tool-Mediated Agents in Civilization VI
22. NeurIPS 2026CLoSeR: Closing the Loop for Long-Context Streaming Reconstruction
23. NeurIPS 2026CoLaX: Context-Aware Local Explanations for Time Series Classification
24. NeurIPS 2026CommunityKV: Efficient Long-Context Decoding via Graph Partitioning
25. NeurIPS 2026CompactAttention: Accelerating Chunked Prefill with Block-Union KV Selection
26. NeurIPS 2026Constrained Modulatory Reservoirs for Context-Dependent Computation
27. NeurIPS 2026Context as Low-Rank Weights: Bounded Parametric Dynamic Memory for Unbounded Context
28. NeurIPS 2026ContextShift: A Controlled Benchmark for Context Dependence in Object Detection
29. NeurIPS 2026Controlling Transient Amplification Improves Long-horizon Rollouts
30. NeurIPS 2026Correspondence Pruning by Iterative Structural Rectification
31. NeurIPS 2026CRUMB: Efficient Prior Fitted Network Inference via Distributionally Matched Context Batching
32. NeurIPS 2026CutAttn: Discovering Cognitive Transition Layers for Efficient Long-Context Prefilling
33. NeurIPS 2026Do Enterprise Systems Need Learned World Models? The Importance of Context to Infer Dynamics
34. NeurIPS 2026DSR-TSF: Spectrum-Driven Dynamic Routing for Efficient Long-Horizon Time Series Forecasting
35. NeurIPS 2026DualKV: Shared-Prompt Flash Attention for Efficient RL Training with Large Rollouts and Long Contexts
36. NeurIPS 2026Dynamic Context Modeling for Longitudinal Mental Health Monitoring under Distribution Shift
37. NeurIPS 2026EAT: Eviction-Aware Training for Long-Context LLM Inference on Edge Devices
38. NeurIPS 2026Effective Context in Transformers: An Analysis of Fragmentation and Tokenization
39. NeurIPS 2026Efficient Scaling of LLM Training with Flexible Context Parallelism
40. NeurIPS 2026Facts Don't Speak Louder than Words: The Behavioral Essence of Long-CoT Distillation
41. NeurIPS 2026FFTSparse: Relative-Position Correlation Guided Sparse Attention for Long-Context Language Models
42. NeurIPS 2026Flow Matching with In-Context Priors for Out-of-Distribution Brain Dynamics
43. NeurIPS 2026Flux Attention: Context-Aware Hybrid Attention for Efficient LLMs Inference
44. NeurIPS 2026Fractional State Space Transition for Long Sequence Modeling
45. NeurIPS 2026FrameScout: Scouting Query-Relevant Frames for Long Video Understanding
46. NeurIPS 2026From History to State: Constant-Context Skill Learning for LLM Agents
47. NeurIPS 2026From Label Priors to Task Evidence: Long-Video Frame Selection via Bayesian GRPO
48. NeurIPS 2026GeneZip: Region-Aware Compression for Long Context DNA Modeling
49. NeurIPS 2026Geometry Matters in Packed 3D Attention
50. NeurIPS 2026Get a GRIP, this will be a long TRIP: A Quantifiable Long-Range Framework for Verifying Over-squashing

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.