长上下文论文趋势 2023–2026
长窗口建模
统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 838 篇被归入该主题的论文。
主要结论
- 长上下文论文从 2023 年的 66 篇增长到 2026 年的 341 篇,三年间扩大到约 5.2 倍。
- NeurIPS 是发长上下文论文最多的会议,2023–2026 年共 298 篇,占四个会议总量的 36%。
- 交叉方向里涨得最快的是AI 智能体:同时属于两个主题的论文从 2023 年的 0 篇增至 2026 年的 45 篇。
- 在「长上下文与记忆」的 5 个主题里,它的 2026 年论文数排第 1;同组增长最快的检索记忆是 6.6 倍,长上下文是 5.2 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 18 | 18 | 15 | 15 | 66 |
| 2024 | 52 | 43 | 60 | 21 | 176 |
| 2025 | 98 | 87 | 53 | 17 | 255 |
| 2026 | 130 | 82 | 98 | 31 | 341 |
代表论文
按年份和会议均匀挑选,方便快速看到每一届的样貌
- 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
全部长上下文论文
共 341 篇,第 4 / 7 页
- ICML 2026LIFT: A Novel Framework for Enhancing Long-Context Understanding of LLMs via Long Input Fine-Tuning
- ICML 2026LIVE: Long-horizon Interactive Video World Modeling
- ICML 2026LOCA-bench: Benchmarking Language Agents Under Controllable and Extreme Context Growth
- ICML 2026Long-Context Modeling with Dynamic Hierarchical Sparse Attention for Memory-Constrained LLM Inference
- ICML 2026Long-Horizon Model-Based Offline Reinforcement Learning Without Explicit Conservatism
- ICML 2026LoSA: Locality Aware Sparse Attention in Diffusion Language Models
- ICML 2026Lost in Context: Adressing Context Anxiety in Large Language Models
- ICML 2026Many-Shot CoT-ICL: Making In-Context Learning Truly Learn
- ICML 2026Masks Can Be Distracting: On Context Comprehension in Diffusion Language Models
- ICML 2026MEG-XL: Data-Efficient Brain-to-Text via Long-Context Pre-Training
- ICML 2026Meta Context Engineering via Agentic Skill Evolution
- ICML 2026MGAL: A Multilingual Granularity-Aware Long-Context Benchmark
- ICML 2026Modeling Long-Tail Relations in the Operating Room via In-Context Multimodal Learning
- ICML 2026MoRGen: Mixture-of-Resolutions Generative Forecasting for Irregularly Sampled Medical Time-Series Data
- ICML 2026MuonSSM: Orthogonalizing State Space Models for Sequence Modeling
- ICML 2026NanoSpec: Accelerating Speculative Decoding using Minimalist In-Context Vocabularies
- ICML 2026OBCache: Optimal Brain KV Cache Pruning for Efficient Long-Context LLM Inference
- ICML 2026OPIC: Enhancing Language Model Merging via Optimizing In-Context Capability
- ICML 2026ParaTool: Shifting Tool Representations from Context to Parameters
- ICML 2026ParisKV: Fast and Drift-Robust KV-Cache Retrieval for Long-Context LLMs
- ICML 2026PersistBench: When Should Long-Term Memories Be Forgotten by LLMs?
- ICML 2026PLASH: Provably Linear-Time Attention with Selective Higher-Order Feature Sketching
- ICML 2026Predicting Future Utility: Global Combinatorial Optimization for Task-Agnostic KV Cache Eviction
- ICML 2026Prism: Spectral-Aware Block-Sparse Attention
- ICML 2026Probing How Scalable Table Data Enhances General Long-Context Reasoning
- ICML 2026ProphetKV: User-Query-Driven Selective Recomputation for Efficient KV Cache Reuse in Retrieval-Augmented Generation
- ICML 2026Push, Pop, Parallelize: Stack-Augmented Linear Attention via the Delta Rule
- ICML 2026RaBitQCache: Rotated Binary Quantization for KVCache in Long Context LLM Inference
- ICML 2026Recursive Models for Long-Horizon Reasoning
- ICML 2026RePo: Language Models with Context Re-Positioning
- ICML 2026Residual Context Diffusion Language Models
- ICML 2026Resolving the Timestep Scaling Paradox in Spiking Neural Networks with a Timestep-Scalable Neuron Model
- ICML 2026Rethinking Genomic Modeling Through Optical Character Recognition
- ICML 2026Rethinking Loss Reweighting for Imbalance Learning as an Inverse Problem: A Neural Collapse Point of View
- ICML 2026Revealing Long-context Potential of Attention Heads via Frequency Kernels
- ICML 2026Robust Filter Attention: Self-Attention as Precision-Weighted State Estimation
- ICML 2026Safe In-Context Reinforcement Learning
- ICML 2026SALE : Low-bit Estimation for Efficient Sparse Attention in Long-context LLM Prefilling
- ICML 2026Scalable Option Learning in High-Throughput Environments
- ICML 2026Scaling Long-Horizon Agent via Context Folding
- ICML 2026Scout Before You Attend: Sketch-and-Walk Sparse Attention for Efficient LLM Inference
- ICML 2026Shortcut-Resistant CAM Distillation for Long-Tailed Recognition
- ICML 2026Shuffle the Context: RoPE-Perturbed Self-Distillation for Long-Context Adaptation
- ICML 2026SKETCH: Semantic Key-Point Conditioning for Long-Horizon Vessel Trajectory Prediction
- ICML 2026Softmax as Linear Attention in the Large-Prompt Regime: a Measure-based Perspective
- ICML 2026Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models
- ICML 2026SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?
- ICML 2026Symmetry Reveals Layerwise Dynamics: How Transformers Perform In-Context Classification
- ICML 2026Temporal Context Reinstatement Drives Episodic-Like Order Memory in Long-Context Language Models
- ICML 2026The Devil is in the Spectrum: Mitigating Representation Collapse in LLMs via Topologically Regularized Side-Path
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后,写综述、挑方向或准备投稿时,不用离开对话框就能拿到这页的数字:每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文,AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查长上下文在 NeurIPS 2023–2026 的论文趋势,哪一年涨得最快?
AI 会调用的工具:get_topic_stats {"topic": "long-context"}
常见问题
- 2023–2026 年四大会议一共有多少篇长上下文论文?
- 共 838 篇,按年份分别是 2023 年 66 篇、2024 年 176 篇、2025 年 255 篇、2026 年 341 篇。
- NeurIPS 2026 有多少篇长上下文论文?
- NeurIPS 2026 有 130 篇长上下文论文,上一届是 98 篇。
- ICLR 2026 有多少篇长上下文论文?
- ICLR 2026 有 82 篇长上下文论文,上一届是 87 篇。
- ICML 2026 有多少篇长上下文论文?
- ICML 2026 有 98 篇长上下文论文,上一届是 53 篇。
- CVPR 2026 有多少篇长上下文论文?
- CVPR 2026 有 31 篇长上下文论文,上一届是 17 篇。
- 哪个会议的长上下文论文最多?
- NeurIPS,2023–2026 年共 298 篇。