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 230 篇,第 5 / 5 页
- ICLR 2024One Step of Gradient Descent is Provably the Optimal In-Context Learner with One Layer of Linear Self-Attention
- ICLR 2024Periodicity Decoupling Framework for Long-term Series Forecasting
- ICLR 2024PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training
- ICLR 2024RECOMP: Improving Retrieval-Augmented LMs with Context Compression and Selective Augmentation
- ICLR 2024Retrieval meets Long Context Large Language Models
- ICLR 2024RingAttention with Blockwise Transformers for Near-Infinite Context
- ICLR 2024Robustifying State-space Models for Long Sequences via Approximate Diagonalization
- ICLR 2024Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns
- ICLR 2024The Cost of Scaling Down Large Language Models: Reducing Model Size Affects Memory before In-context Learning
- ICLR 2024Towards Offline Opponent Modeling with In-context Learning
- ICLR 2024Transformer-VQ: Linear-Time Transformers via Vector Quantization
- ICLR 2024YaRN: Efficient Context Window Extension of Large Language Models
- ICLR 2023$k$NN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference
- ICLR 2023Artificial Neuronal Ensembles with Learned Context Dependent Gating
- ICLR 2023CUDA: Curriculum of Data Augmentation for Long-tailed Recognition
- ICLR 2023Decoupled Training for Long-Tailed Classification With Stochastic Representations
- ICLR 2023Delving into Semantic Scale Imbalance
- ICLR 2023Evaluating Long-Term Memory in 3D Mazes
- ICLR 2023Generate rather than Retrieve: Large Language Models are Strong Context Generators
- ICLR 2023In-context Reinforcement Learning with Algorithm Distillation
- ICLR 2023Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models
- ICLR 2023Long Range Language Modeling via Gated State Spaces
- ICLR 2023Long-Tailed Learning Requires Feature Learning
- ICLR 2023Long-Tailed Partial Label Learning via Dynamic Rebalancing
- ICLR 2023MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting
- ICLR 2023On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning.
- ICLR 2023Simplified State Space Layers for Sequence Modeling
- ICLR 2023Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors
- ICLR 2023What learning algorithm is in-context learning? Investigations with linear models
- ICLR 2023What Makes Convolutional Models Great on Long Sequence Modeling?
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。