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 838 篇,第 2 / 17 页
- ICLR 2026Critical attention scaling in long-context transformers
- ICLR 2026Draft-based Approximate Inference for LLMs
- ICLR 2026DSSA: Dense-Sparse Switchable Attention for Seamless Short-to-Long Adaptation
- ICLR 2026ECHO: Toward Contextual Seq2Seq Paradigms in Large EEG Models
- ICLR 2026EntropyLong: Effective Long-Context Training via Predictive Uncertainty
- ICLR 2026Extending the Context of Pretrained LLMs by Dropping Their Positional Embedding
- ICLR 2026Frayed RoPE and Long Inputs: A Geometric Perspective
- ICLR 2026FreqKV: Key-Value Compression in Frequency Domain for Context Window Extension
- ICLR 2026From Collapse to Control: Understanding and Extending Context Length in Emerging Hybrid Models via Universal Position Interpolation
- ICLR 2026From Markov to Laplace: How Mamba In-Context Learns Markov Chains
- ICLR 2026FSA: An Alternative Efficient Implementation of Native Sparse Attention Kernel
- ICLR 2026Generative Diffusion Prior Distillation for Long-Context Knowledge Transfer
- ICLR 2026Improving Long-Range Interactions in Graph Neural Simulators via Hamiltonian Dynamics
- ICLR 2026In-Context Algebra
- ICLR 2026In-Context Algorithm Emulation in Fixed-Weight Transformers
- ICLR 2026Inferring brain plasticity rule under long-term stimulation with structured recurrent dynamics
- ICLR 2026InftyThink: Breaking the Length Limits of Long-Context Reasoning in Large Language Models
- ICLR 2026Intrinsic Entropy of Context Length Scaling in LLMs
- ICLR 2026Is In-Context Learning Learning?
- ICLR 2026IterResearch: Rethinking Long-Horizon Agents via Markovian State Reconstruction
- ICLR 2026Learning to Adapt: In-Context Learning Beyond Stationarity
- ICLR 2026Let's (not) just put things in Context: Test-time Training for Long-context LLMs
- ICLR 2026Long-Context Attention Benchmark: From Kernel Efficiency to Distributed Context Parallelism
- ICLR 2026Long-Context Generalization with Sparse Attention
- ICLR 2026Long-range Modeling and Processing of Multimodal Event Sequences
- ICLR 2026LongRLVR: Long-Context Reinforcement Learning Requires Verifiable Context Rewards
- ICLR 2026LoongRL: Reinforcement Learning for Advanced Reasoning over Long Contexts
- ICLR 2026LycheeDecode: Accelerating Long-Context LLM Inference via Hybrid-Head Sparse Decoding
- ICLR 2026MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent
- ICLR 2026Mini-cluster Guided Long-tailed Deep Clustering
- ICLR 2026MMReD: a Cross-Modal Benchmark for Dense Context Reasoning
- ICLR 2026MrRoPE: Mixed-radix Rotary Position Embedding
- ICLR 2026On learning linear dynamical systems in context with attention layers
- ICLR 2026Out of the Memory Barrier: A Highly Memory-Efficient Training System for LLMs with Million-Token Contexts
- ICLR 2026PERK: Long-Context Reasoning as Parameter-Efficient Test-Time Learning
- ICLR 2026PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs
- ICLR 2026PMDformer: Patch-Mean Decoupling Transformer for Long-term Forecasting
- ICLR 2026ProtoKV: Long-context Knowledges Are Already Well-Organized Before Your Query
- ICLR 2026Queue Length Regret Bounds for Contextual Queueing Bandits
- ICLR 2026RACE Attention: A Strictly Linear-Time Attention for Long-Sequence Training
- ICLR 2026ReST-KV: Robust KV Cache Eviction with Layer-wise Output Reconstruction and Spatial-Temporal Smoothing
- ICLR 2026Retrospective Sparse Attention for Efficient Long-Context Generation
- ICLR 2026Revisiting Long-context Modeling from Context Denoising Perspective
- ICLR 2026Reward Is Enough: LLMs Are In-Context Reinforcement Learners
- ICLR 2026RMAAT: Astrocyte-Inspired Memory Compression and Replay for Efficient Long-Context Transformers
- ICLR 2026SARM: Stage-Aware Reward Modeling for Long Horizon Robot Manipulation
- ICLR 2026Sculptor: Empowering LLMs with Cognitive Agency via Active Context Management
- ICLR 2026Short Window Attention Enables Long-Term Memorization
- ICLR 2026SinkTrack: Attention Sink based Context Anchoring for Large Language Models
- ICLR 2026Smooth Reading: Bridging the Gap of Recurrent LLM to Self-Attention LLM on Long-Context Understanding
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。