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 3 / 5 页
- 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
- ICLR 2025miniCTX: Neural Theorem Proving with (Long-)Contexts
- ICLR 2025Needle Threading: Can LLMs Follow Threads Through Near-Million-Scale Haystacks?
- ICLR 2025NovelQA: Benchmarking Question Answering on Documents Exceeding 200K Tokens
- ICLR 2025OmniKV: Dynamic Context Selection for Efficient Long-Context LLMs
- ICLR 2025On the Learn-to-Optimize Capabilities of Transformers in In-Context Sparse Recovery
- ICLR 2025Oscillatory State-Space Models
- ICLR 2025P-SPIKESSM: HARNESSING PROBABILISTIC SPIKING STATE SPACE MODELS FOR LONG-RANGE DEPENDENCY TASKS
- ICLR 2025PEARL: Towards Permutation-Resilient LLMs
- ICLR 2025PICASO: Permutation-Invariant Context Composition with State Space Models
- ICLR 2025Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model
- ICLR 2025Radar: Fast Long-Context Decoding for Any Transformer
- ICLR 2025ReAttention: Training-Free Infinite Context with Finite Attention Scope
- ICLR 2025Rethinking Invariance in In-context Learning
- ICLR 2025Retrieval Head Mechanistically Explains Long-Context Factuality
- ICLR 2025RetroInText: A Multimodal Large Language Model Enhanced Framework for Retrosynthetic Planning via In-Context Representation Learning
- ICLR 2025Revisiting In-context Learning Inference Circuit in Large Language Models
- ICLR 2025Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling
- ICLR 2025Scaling Instruction-tuned LLMs to Million-token Contexts via Hierarchical Synthetic Data Generation
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。