对齐与安全论文趋势 2023–2026

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。

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 1,198 篇，第 23 / 24 页

1101. ICML 2023A Study on Transformer Configuration and Training Objective
1102. ICML 2023A Theoretical Analysis of the Learning Dynamics under Class Imbalance
1103. ICML 2023abess: A Fast Best-Subset Selection Library in Python and R
1104. ICML 2023Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point Iterations
1105. ICML 2023Adversarial Classification: Necessary Conditions and Geometric Flows
1106. ICML 2023Aligning Language Models with Preferences through $f$-divergence Minimization
1107. ICML 2023Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial Participation
1108. ICML 2023Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation
1109. ICML 2023Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanism.
1110. ICML 2023Bandit Online Linear Optimization with Hints and Queries
1111. ICML 2023Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts
1112. ICML 2023Biases in Evaluation of Molecular Optimization Methods and Bias Reduction Strategies
1113. ICML 2023Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching
1114. ICML 2023Constrained Phi-Equilibria
1115. ICML 2023Contextual Conservative Interleaving Bandits
1116. ICML 2023Contextual Reliability: When Different Features Matter in Different Contexts
1117. ICML 2023Convex Geometry of ReLU-layers, Injectivity on the Ball and Local Reconstruction
1118. ICML 2023Critical Points and Convergence Analysis of Generative Deep Linear Networks Trained with Bures-Wasserstein Loss
1119. ICML 2023Cut your Losses with Squentropy
1120. ICML 2023Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the Machiavelli Benchmark
1121. ICML 2023DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning
1122. ICML 2023DUET: 2D Structured and Approximately Equivariant Representations
1123. ICML 2023EF21-P and Friends: Improved Theoretical Communication Complexity for Distributed Optimization with Bidirectional Compression
1124. ICML 2023Efficient Sequence Transduction by Jointly Predicting Tokens and Durations
1125. ICML 2023Eliminating Adversarial Noise via Information Discard and Robust Representation Restoration
1126. ICML 2023Expected Gradients of Maxout Networks and Consequences to Parameter Initialization
1127. ICML 2023Explainable Data-Driven Optimization: From Context to Decision and Back Again
1128. ICML 2023FAIRER: Fairness as Decision Rationale Alignment
1129. ICML 2023Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning
1130. ICML 2023Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective
1131. ICML 2023Federated Online and Bandit Convex Optimization
1132. ICML 2023Finding Generalization Measures by Contrasting Signal and Noise
1133. ICML 2023Finite-Sample Analysis of Learning High-Dimensional Single ReLU Neuron
1134. ICML 2023Gradient Descent Monotonically Decreases the Sharpness of Gradient Flow Solutions in Scalar Networks and Beyond
1135. ICML 2023Graph Neural Networks with Learnable and Optimal Polynomial Bases
1136. ICML 2023High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the Case of Unbounded Variance
1137. ICML 2023How Powerful are Shallow Neural Networks with Bandlimited Random Weights?
1138. ICML 2023Implicit Jacobian regularization weighted with impurity of probability output
1139. ICML 2023Incentivizing Exploration with Linear Contexts and Combinatorial Actions
1140. ICML 2023Invariance in Policy Optimisation and Partial Identifiability in Reward Learning
1141. ICML 2023Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks
1142. ICML 2023Learning Mixtures of Markov Chains and MDPs
1143. ICML 2023Let's Make Block Coordinate Descent Converge Faster: Faster Greedy Rules, Message-Passing, Active-Set Complexity, and Superlinear Convergence
1144. ICML 2023Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear Programming
1145. ICML 2023Meta Optimal Transport
1146. ICML 2023Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism
1147. ICML 2023Near-Optimal Cryptographic Hardness of Agnostically Learning Halfspaces and ReLU Regression under Gaussian Marginals
1148. ICML 2023Nearly Optimal Competitive Ratio for Online Allocation Problems with Two-sided Resource Constraints and Finite Requests
1149. ICML 2023Neural Latent Aligner: Cross-trial Alignment for Learning Representations of Complex, Naturalistic Neural Data
1150. ICML 2023Nonparametric Iterative Machine Teaching

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。