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 87 篇,第 1 / 2 页
- ICLR 2025$\text{D}_{2}\text{O}$: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models
- ICLR 2025A Causal Lens for Learning Long-term Fair Policies
- ICLR 2025A Little Goes a Long Way: Efficient Long Context Training and Inference with Partial Contexts
- ICLR 2025A Training-Free Sub-quadratic Cost Transformer Model Serving Framework with Hierarchically Pruned Attention
- ICLR 2025BenTo: Benchmark Reduction with In-Context Transferability
- ICLR 2025Bridging Context Gaps: Leveraging Coreference Resolution for Long Contextual Understanding
- ICLR 2025Can Generative AI Solve Your In-Context Learning Problem? A Martingale Perspective
- ICLR 2025Can In-context Learning Really Generalize to Out-of-distribution Tasks?
- ICLR 2025Can LLMs Really Learn to Translate a Low-Resource Language from One Grammar Book?
- ICLR 2025ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities
- ICLR 2025Competition Dynamics Shape Algorithmic Phases of In-Context Learning
- ICLR 2025Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHR Data
- ICLR 2025Context-Parametric Inversion: Why Instruction Finetuning May Not Actually Improve Context Reliance
- ICLR 2025CURIE: Evaluating LLMs on Multitask Scientific Long-Context Understanding and Reasoning
- ICLR 2025DeciMamba: Exploring the Length Extrapolation Potential of Mamba
- ICLR 2025Density estimation with LLMs: a geometric investigation of in-context learning trajectories
- ICLR 2025Differential learning kinetics govern the transition from memorization to generalization during in-context learning
- ICLR 2025Dual Process Learning: Controlling Use of In-Context vs. In-Weights Strategies with Weight Forgetting
- ICLR 2025DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads
- ICLR 2025FlashMask: Efficient and Rich Mask Extension of FlashAttention
- ICLR 2025FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference
- ICLR 2025Forgetting Transformer: Softmax Attention with a Forget Gate
- ICLR 2025From Artificial Needles to Real Haystacks: Improving Retrieval Capabilities in LLMs by Finetuning on Synthetic Data
- ICLR 2025Gated Delta Networks: Improving Mamba2 with Delta Rule
- ICLR 2025GLoRa: A Benchmark to Evaluate the Ability to Learn Long-Range Dependencies in Graphs
- ICLR 2025HELMET: How to Evaluate Long-context Models Effectively and Thoroughly
- ICLR 2025Holistic Reasoning with Long-Context LMs: A Benchmark for Database Operations on Massive Textual Data
- ICLR 2025HOPE for a Robust Parameterization of Long-memory State Space Models
- ICLR 2025Human-inspired Episodic Memory for Infinite Context LLMs
- ICLR 2025ICLR: In-Context Learning of Representations
- ICLR 2025Implicit In-context Learning
- ICLR 2025In-context Time Series Predictor
- ICLR 2025Inference Scaling for Long-Context Retrieval Augmented Generation
- ICLR 2025Is In-Context Learning Sufficient for Instruction Following in LLMs?
- ICLR 2025Learning Long Range Dependencies on Graphs via Random Walks
- ICLR 2025Learning Randomized Algorithms with Transformers
- ICLR 2025Long Context Compression with Activation Beacon
- ICLR 2025Long-Context Linear System Identification
- ICLR 2025Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG
- ICLR 2025Long-tailed Adversarial Training with Self-Distillation
- ICLR 2025Long-time asymptotics of noisy SVGD outside the population limit
- ICLR 2025LongGenBench: Benchmarking Long-Form Generation in Long Context LLMs
- ICLR 2025LongMamba: Enhancing Mamba's Long-Context Capabilities via Training-Free Receptive Field Enlargement
- ICLR 2025LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization
- ICLR 2025LongVILA: Scaling Long-Context Visual Language Models for Long Videos
- ICLR 2025LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs
- ICLR 2025MagicDec: Breaking the Latency-Throughput Tradeoff for Long Context Generation with Speculative Decoding
- ICLR 2025MambaExtend: A Training-Free Approach to Improve Long Context Extension of Mamba
- ICLR 2025MELODI: Exploring Memory Compression for Long Contexts
- ICLR 2025Metalic: Meta-Learning In-Context with Protein Language Models
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。