对齐与安全论文趋势 2023–2026
RLHF、偏好优化、红队与安全对齐
统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 4,558 篇被归入该主题的论文。
主要结论
- 对齐与安全论文从 2023 年的 438 篇增长到 2026 年的 1,882 篇,三年间扩大到约 4.3 倍。
- NeurIPS 是发对齐与安全论文最多的会议,2023–2026 年共 1,421 篇,占四个会议总量的 31%。
- 交叉方向里涨得最快的是社会层面 · safety:同时属于两个主题的论文从 2023 年的 0 篇增至 2026 年的 137 篇。
- 在「对齐与负责任 AI」的 5 个主题里,它的 2026 年论文数排第 1;同组增长最快的社会层面 · safety是 93 倍,对齐与安全是 4.3 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 138 | 87 | 101 | 112 | 438 |
| 2024 | 348 | 156 | 246 | 125 | 875 |
| 2025 | 455 | 473 | 300 | 135 | 1,363 |
| 2026 | 480 | 623 | 551 | 228 | 1,882 |
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 2026$\gamma$-weakly $\theta$-up-concavity: A Unified Framework for Non-Convex Optimization Beyond DR-Submodular and OSS Functions
- ICML 2026AICrypto: Evaluating Cryptography Capabilities of Large Language Models
- ICLR 2026A Fair Bayesian Inference through Matched Gibbs Posterior
- CVPR 2026Advancing Cancer Prognosis with Hierarchical Fusion of Genomic Proteomic and
- NeurIPS 2025$\Psi$-Sampler: Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score Models
- ICML 2025A Checks-and-Balances Framework for Context-Aware Ethical AI Alignment
- ICLR 2025$\sigma$-zero: Gradient-based Optimization of $\ell_0$-norm Adversarial Examples
- CVPR 2025AesthetiQ: Enhancing Graphic Layout Design via Aesthetic-Aware Preference Alignment of Multi-modal Large Language Models
- NeurIPS 2024A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences
- ICML 2024A Global Geometric Analysis of Maximal Coding Rate Reduction
- ICLR 2024A unique M-pattern for micro-expression spotting in long videos
- CVPR 2024Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation
- NeurIPS 2023(S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability
- ICML 2023A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks
- ICLR 2023Aligning Model and Macaque Inferior Temporal Cortex Representations Improves Model-to-Human Behavioral Alignment and Adversarial Robustness
- CVPR 2023Adjustment and Alignment for Unbiased Open Set Domain Adaptation
- NeurIPS 2026$\mathcal{P}$Torch: Narrowing the Gap Between Projection and Gradient-Based Learning
- ICML 2026Alignment Pretraining: AI Discourse Causes Self-Fulfilling (Mis)alignment
- ICLR 2026A2D: Any-Order, Any-Step Safety Alignment for Diffusion Language Models
- CVPR 2026AlignPose Generalizable 6D Pose Estimation via Multi-view Feature-metric Alignment
全部对齐与安全论文
共 1,339 篇,第 27 / 27 页
- ICLR 2023One-Pixel Shortcut: On the Learning Preference of Deep Neural Networks
- ICLR 2023Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing
- ICLR 2023Partial Label Unsupervised Domain Adaptation with Class-Prototype Alignment
- ICLR 2023PASHA: Efficient HPO and NAS with Progressive Resource Allocation
- ICLR 2023Personalized Federated Learning with Feature Alignment and Classifier Collaboration
- ICLR 2023PiFold: Toward effective and efficient protein inverse folding
- ICLR 2023Quantifying and Mitigating the Impact of Label Errors on Model Disparity Metrics
- ICLR 2023Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences
- ICLR 2023Reliability of CKA as a Similarity Measure in Deep Learning
- ICLR 2023Restricted Strong Convexity of Deep Learning Models with Smooth Activations
- ICLR 2023Safe Exploration Incurs Nearly No Additional Sample Complexity for Reward-Free RL
- ICLR 2023Safe Reinforcement Learning From Pixels Using a Stochastic Latent Representation
- ICLR 2023Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO) Convolutions
- ICLR 2023Semi-Parametric Inducing Point Networks and Neural Processes
- ICLR 2023Simple and Scalable Nearest Neighbor Machine Translation
- ICLR 2023Simple initialization and parametrization of sinusoidal networks via their kernel bandwidth
- ICLR 2023Simplicial Embeddings in Self-Supervised Learning and Downstream Classification
- ICLR 2023Sparse Mixture-of-Experts are Domain Generalizable Learners
- ICLR 2023Stochastic Differentially Private and Fair Learning
- ICLR 2023Supervision Complexity and its Role in Knowledge Distillation
- ICLR 2023Symmetries, Flat Minima, and the Conserved Quantities of Gradient Flow
- ICLR 2023SYNC: SAFETY-AWARE NEURAL CONTROL FOR STABILIZING STOCHASTIC DELAY-DIFFERENTIAL EQUATIONS
- ICLR 2023TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization
- ICLR 2023Targeted Hyperparameter Optimization with Lexicographic Preferences Over Multiple Objectives
- ICLR 2023Task Ambiguity in Humans and Language Models
- ICLR 2023TempCLR: Temporal Alignment Representation with Contrastive Learning
- ICLR 2023Thalamus: a brain-inspired algorithm for biologically-plausible continual learning and disentangled representations
- ICLR 2023Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case
- ICLR 2023Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning
- ICLR 2023Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning
- ICLR 2023Training language models to summarize narratives improves brain alignment
- ICLR 2023Understanding Influence Functions and Datamodels via Harmonic Analysis
- ICLR 2023Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization
- ICLR 2023Unsupervised Manifold Alignment with Joint Multidimensional Scaling
- ICLR 2023Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction
- ICLR 2023What Is Missing in IRM Training and Evaluation? Challenges and Solutions
- ICLR 2023When to Make and Break Commitments?
- ICLR 2023Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning
- ICLR 2023Why (and When) does Local SGD Generalize Better than SGD?
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 查对齐与安全在 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": "alignment-and-safety"}
常见问题
- 2023–2026 年四大会议一共有多少篇对齐与安全论文?
- 共 4,558 篇,按年份分别是 2023 年 438 篇、2024 年 875 篇、2025 年 1,363 篇、2026 年 1,882 篇。
- NeurIPS 2026 有多少篇对齐与安全论文?
- NeurIPS 2026 有 480 篇对齐与安全论文,上一届是 455 篇。
- ICLR 2026 有多少篇对齐与安全论文?
- ICLR 2026 有 623 篇对齐与安全论文,上一届是 473 篇。
- ICML 2026 有多少篇对齐与安全论文?
- ICML 2026 有 551 篇对齐与安全论文,上一届是 300 篇。
- CVPR 2026 有多少篇对齐与安全论文?
- CVPR 2026 有 228 篇对齐与安全论文,上一届是 135 篇。
- 哪个会议的对齐与安全论文最多?
- NeurIPS,2023–2026 年共 1,421 篇。