探针论文趋势 2023–2026
表示探针
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 43 篇被归入该主题的论文。
主要结论
- 探针论文从 2023 年的 10 篇增长到 2026 年的 15 篇，三年间扩大到约 1.5 倍。
- NeurIPS 是发探针论文最多的会议，2023–2026 年共 12 篇，占四个会议总量的 28%。
- 在「可解释性」的 5 个主题里，它的 2026 年论文数排第 5；同组增长最快的机制解释是 8.1 倍，探针是 1.5 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 0 | 2 | 3 | 5 | 10 |
| 2024 | 2 | 1 | 1 | 1 | 5 |
| 2025 | 4 | 4 | 1 | 4 | 13 |
| 2026 | 6 | 3 | 4 | 2 | 15 |
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 2026Optimal Representation Size: High-Dimensional Analysis of Pretraining and Linear Probing
- ICML 2026Logit Distance Bounds Representational Similarity
- ICLR 2026Probing Rotary Position Embeddings through Frequency Entropy
- CVPR 2026Do VLMs Perceive or Recall Probing Visual Perception vs. Memory
- NeurIPS 2025SparseMVC: Probing Cross-view Sparsity Variations for Multi-view Clustering
- ICML 2025ViTally Consistent: Scaling Biological Representation Learning for Cell Microscopy
- ICLR 2025Breaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization
- CVPR 2025MetricGrids: Arbitrary Nonlinear Approximation with Elementary Metric Grids based Implicit Neural Representation
- NeurIPS 2024EMVP: Embracing Visual Foundation Model for Visual Place Recognition with Centroid-Free Probing
- ICML 2024Position: The Platonic Representation Hypothesis
- ICLR 2024LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures
- CVPR 2024Improved Implicit Neural Representation with Fourier Reparameterized Training
- ICML 2023Defects of Convolutional Decoder Networks in Frequency Representation
- ICLR 2023Can BERT Refrain from Forgetting on Sequential Tasks? A Probing Study
- CVPR 2023Probing Neural Representations of Scene Perception in a Hippocampally Dependent Task Using Artificial Neural Networks
- NeurIPS 2026Towards Precise Knowledge Distillation for Large Language Models via Knowledge Probing
- ICML 2026Probing the Inductive Bias of Neural Networks through Learning Random Cellular Automata
- ICLR 2026Rethinking LLM-as-a-Judge: Representation-as-a-Judge with Small Language Models via Semantic Capacity Asymmetry
- CVPR 2026Faithful Contouring Near-Lossless 3D Voxel Representation Free from Iso-surface
- NeurIPS 2025MaxSup: Overcoming Representation Collapse in Label Smoothing
全部探针论文
共 43 篇，第 1 / 1 页
- CVPR 2026Do VLMs Perceive or Recall Probing Visual Perception vs. Memory
- CVPR 2026Faithful Contouring Near-Lossless 3D Voxel Representation Free from Iso-surface
- ICLR 2026Attention, Please! Revisiting Attentive Probing Through the Lens of Efficiency
- ICLR 2026Probing Rotary Position Embeddings through Frequency Entropy
- ICLR 2026Rethinking LLM-as-a-Judge: Representation-as-a-Judge with Small Language Models via Semantic Capacity Asymmetry
- ICML 2026Logit Distance Bounds Representational Similarity
- ICML 2026Probing the Geometry of Diffusion Models with the String Method
- ICML 2026Probing the Inductive Bias of Neural Networks through Learning Random Cellular Automata
- ICML 2026The Perception–Physics Paradox: Probing Scientific Alignment with TC-Bench
- NeurIPS 2026Is a Linear Probe Evidence of a Linear Representation?
- NeurIPS 2026Optimal Representation Size: High-Dimensional Analysis of Pretraining and Linear Probing
- NeurIPS 2026Probing the Trajectories of Reasoning Traces in Large Language Models
- NeurIPS 2026Prototypes of the Mind: A Unified Framework for Probing the Visual Brain
- NeurIPS 2026Towards Precise Knowledge Distillation for Large Language Models via Knowledge Probing
- NeurIPS 2026Value Entanglement: Conflation Between Different Kinds of Good In (Some) Large Language Models
- CVPR 2025MetricGrids: Arbitrary Nonlinear Approximation with Elementary Metric Grids based Implicit Neural Representation
- CVPR 2025PolarNeXt: Rethink Instance Segmentation with Polar Representation
- CVPR 2025STINR: Deciphering Spatial Transcriptomics via Implicit Neural Representation
- CVPR 2025Towards Lossless Implicit Neural Representation via Bit Plane Decomposition
- ICLR 2025Breaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization
- ICLR 2025Do LLMs ``know'' internally when they follow instructions?
- ICLR 2025LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations
- ICLR 2025Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing
- ICML 2025ViTally Consistent: Scaling Biological Representation Learning for Cell Microscopy
- NeurIPS 2025Head Pursuit: Probing Attention Specialization in Multimodal Transformers
- NeurIPS 2025MaxSup: Overcoming Representation Collapse in Label Smoothing
- NeurIPS 2025Probing Hidden Knowledge Holes in Unlearned LLMs
- NeurIPS 2025SparseMVC: Probing Cross-view Sparsity Variations for Multi-view Clustering
- CVPR 2024Improved Implicit Neural Representation with Fourier Reparameterized Training
- ICLR 2024LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures
- ICML 2024Position: The Platonic Representation Hypothesis
- NeurIPS 2024EMVP: Embracing Visual Foundation Model for Visual Place Recognition with Centroid-Free Probing
- NeurIPS 2024Probing the Decision Boundaries of In-context Learning in Large Language Models
- CVPR 2023DINER: Disorder-Invariant Implicit Neural Representation
- CVPR 2023Im2Hands: Learning Attentive Implicit Representation of Interacting Two-Hand Shapes
- CVPR 2023Probing Neural Representations of Scene Perception in a Hippocampally Dependent Task Using Artificial Neural Networks
- CVPR 2023Regularize Implicit Neural Representation by Itself
- CVPR 2023Superclass Learning With Representation Enhancement
- ICLR 2023Can BERT Refrain from Forgetting on Sequential Tasks? A Probing Study
- ICLR 2023Does Deep Learning Learn to Abstract? A Systematic Probing Framework
- ICML 2023Defects of Convolutional Decoder Networks in Frequency Representation
- ICML 2023Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score
- ICML 2023Stochastic Gradient Descent-Induced Drift of Representation in a Two-Layer Neural Network
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 查探针在 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": "probing"}
常见问题
- 2023–2026 年四大会议一共有多少篇探针论文？
- 共 43 篇，按年份分别是 2023 年 10 篇、2024 年 5 篇、2025 年 13 篇、2026 年 15 篇。
- NeurIPS 2026 有多少篇探针论文？
- NeurIPS 2026 有 6 篇探针论文，上一届是 4 篇。
- ICLR 2026 有多少篇探针论文？
- ICLR 2026 有 3 篇探针论文，上一届是 4 篇。
- ICML 2026 有多少篇探针论文？
- ICML 2026 有 4 篇探针论文，上一届是 1 篇。
- CVPR 2026 有多少篇探针论文？
- CVPR 2026 有 2 篇探针论文，上一届是 4 篇。
- 哪个会议的探针论文最多？
- NeurIPS，2023–2026 年共 12 篇。