交叉编码重排论文趋势 2023–2026
重排序
统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 260 篇被归入该主题的论文。
主要结论
- 交叉编码重排论文从 2023 年的 40 篇增长到 2026 年的 121 篇,三年间扩大到约 3.0 倍。
- CVPR 是发交叉编码重排论文最多的会议,2023–2026 年共 115 篇,占四个会议总量的 44%。
- 交叉方向里涨得最快的是三维视觉:同时属于两个主题的论文从 2023 年的 1 篇增至 2026 年的 11 篇。
- 在「信息检索」的 5 个主题里,它的 2026 年论文数排第 2;同组增长最快的稠密检索是 2.7 倍,交叉编码重排是 3.0 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 4 | 7 | 7 | 22 | 40 |
| 2024 | 14 | 6 | 8 | 23 | 51 |
| 2025 | 11 | 7 | 9 | 21 | 48 |
| 2026 | 50 | 13 | 9 | 49 | 121 |
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 2026A Simple Unigram Cross-Entropy Lens on the Lexical Imprint of Pre-training Data
- ICML 2026Clustered Influence Functions
- ICLR 2026Complementing Self-Consistency with Cross-Model Disagreement for Uncertainty Quantification
- CVPR 2026Bidirectional Cross-Modal Prompting for Event-Frame Asymmetric Stereo
- NeurIPS 2025Disentangled Cross-Modal Representation Learning with Enhanced Mutual Supervision
- ICML 2025DeepCrossAttention: Supercharging Transformer Residual Connections
- ICLR 2025CBQ: Cross-Block Quantization for Large Language Models
- CVPR 2025A4A: Adapter for Adapter Transfer via All-for-All Mapping for Cross-Architecture Models
- NeurIPS 2024Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias
- ICML 2024Improved Dimensionality Dependence for Zeroth-Order Optimisation over Cross-Polytopes
- ICLR 2024Geometrically Aligned Transfer Encoder for Inductive Transfer in Regression Tasks
- CVPR 2024How to Make Cross Encoder a Good Teacher for Efficient Image-Text Retrieval?
- NeurIPS 2023Fine-Grained Cross-View Geo-Localization Using a Correlation-Aware Homography Estimator
- ICML 2023Iterative Approximate Cross-Validation
- ICLR 2023Cross-Layer Retrospective Retrieving via Layer Attention
- CVPR 20233D Human Pose Estimation With Spatio-Temporal Criss-Cross Attention
- NeurIPS 2026A Topological Encoder Decoder Framework for Temporal Graph Learning
- ICML 2026Vector Linking via Cross-Model Local Isometric Consistency
- ICLR 2026Cross-Tokenizer Likelihood Scoring Algorithms for Language Model Distillation
- CVPR 2026CAR-SAM Cross-Attention Reconstruction for Post-Training Quantization of the Segment Anything
全部交叉编码重排论文
共 13 篇,第 1 / 1 页
- ICLR 2026Align-SAM: Seeking Flatter Minima for Better Cross-Subset Alignment
- ICLR 2026CASteer: Cross-Attention Steering for Controllable Concept Erasure
- ICLR 2026CLIP Behaves like a Bag-of-Words Model Cross-modally but not Uni-modally
- ICLR 2026Complementing Self-Consistency with Cross-Model Disagreement for Uncertainty Quantification
- ICLR 2026Cross-Tokenizer Likelihood Scoring Algorithms for Language Model Distillation
- ICLR 2026Efficient Discriminative Joint Encoders for Large Scale Vision-Language Reranking
- ICLR 2026Exploring the Potential of Encoder-free Architectures in 3D LMMs
- ICLR 2026Graphon Cross-Validation: Assessing Models on Network Data
- ICLR 2026Proximal Diffusion Neural Sampler
- ICLR 2026Quantifying Cross-Attention Interaction in Transformers for Interpreting TCR-pMHC Binding
- ICLR 2026Rejuvenating Cross-Entropy Loss in Knowledge Distillation for Recommender Systems
- ICLR 2026TRIDENT: Cross-Domain Trajectory Spatio-Temporal Representation via Distance-Preserving Triplet Learning
- ICLR 2026XIL: Cross-Expanding Incremental Learning
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 查交叉编码重排在 CVPR 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": "cross-encoder-reranking"}
常见问题
- 2023–2026 年四大会议一共有多少篇交叉编码重排论文?
- 共 260 篇,按年份分别是 2023 年 40 篇、2024 年 51 篇、2025 年 48 篇、2026 年 121 篇。
- NeurIPS 2026 有多少篇交叉编码重排论文?
- NeurIPS 2026 有 50 篇交叉编码重排论文,上一届是 11 篇。
- ICLR 2026 有多少篇交叉编码重排论文?
- ICLR 2026 有 13 篇交叉编码重排论文,上一届是 7 篇。
- ICML 2026 有多少篇交叉编码重排论文?
- ICML 2026 有 9 篇交叉编码重排论文,上一届是 9 篇。
- CVPR 2026 有多少篇交叉编码重排论文?
- CVPR 2026 有 49 篇交叉编码重排论文,上一届是 21 篇。
- 哪个会议的交叉编码重排论文最多?
- CVPR,2023–2026 年共 115 篇。