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 4,558 篇,第 91 / 92 页
- NeurIPS 2023Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond
- NeurIPS 2023Rank-1 Matrix Completion with Gradient Descent and Small Random Initialization
- NeurIPS 2023Red Teaming Deep Neural Networks with Feature Synthesis Tools
- NeurIPS 2023Regret Matching+: (In)Stability and Fast Convergence in Games
- NeurIPS 2023Residual Alignment: Uncovering the Mechanisms of Residual Networks
- NeurIPS 2023Resolving the Tug-of-War: A Separation of Communication and Learning in Federated Learning
- NeurIPS 2023Responsible AI (RAI) Games and Ensembles
- NeurIPS 2023Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union
- NeurIPS 2023Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery
- NeurIPS 2023Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards
- NeurIPS 2023Robust covariance estimation with missing values and cell-wise contamination
- NeurIPS 2023Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity
- NeurIPS 2023RRHF: Rank Responses to Align Language Models with Human Feedback
- NeurIPS 2023Safe Exploration in Reinforcement Learning: A Generalized Formulation and Algorithms
- NeurIPS 2023SafeDICE: Offline Safe Imitation Learning with Non-Preferred Demonstrations
- NeurIPS 2023Safety Verification of Decision-Tree Policies in Continuous Time
- NeurIPS 2023Sample Complexity for Quadratic Bandits: Hessian Dependent Bounds and Optimal Algorithms
- NeurIPS 2023Self-supervised video pretraining yields robust and more human-aligned visual representations
- NeurIPS 2023Sequential Predictive Two-Sample and Independence Testing
- NeurIPS 2023Sequential Preference Ranking for Efficient Reinforcement Learning from Human Feedback
- NeurIPS 2023SEVA: Leveraging sketches to evaluate alignment between human and machine visual abstraction
- NeurIPS 2023SPA: A Graph Spectral Alignment Perspective for Domain Adaptation
- NeurIPS 2023SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data
- NeurIPS 2023Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm
- NeurIPS 2023Stability of Random Forests and Coverage of Random-Forest Prediction Intervals
- NeurIPS 2023Statistical and Computational Trade-off in Multi-Agent Multi-Armed Bandits
- NeurIPS 2023Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference
- NeurIPS 2023StEik: Stabilizing the Optimization of Neural Signed Distance Functions and Finer Shape Representation
- NeurIPS 2023Stochastic Distributed Optimization under Average Second-order Similarity: Algorithms and Analysis
- NeurIPS 2023Stochastic Multi-armed Bandits: Optimal Trade-off among Optimality, Consistency, and Tail Risk
- NeurIPS 2023Strong and Precise Modulation of Human Percepts via Robustified ANNs
- NeurIPS 2023Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training
- NeurIPS 2023Text Alignment Is An Efficient Unified Model for Massive NLP Tasks
- NeurIPS 2023The Behavior and Convergence of Local Bayesian Optimization
- NeurIPS 2023The Equivalence of Dynamic and Strategic Stability under Regularized Learning in Games
- NeurIPS 2023The Geometry of Neural Nets' Parameter Spaces Under Reparametrization
- NeurIPS 2023Theoretical and Practical Perspectives on what Influence Functions Do
- NeurIPS 2023Thought Cloning: Learning to Think while Acting by Imitating Human Thinking
- NeurIPS 2023Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance
- NeurIPS 2023Time-Reversed Dissipation Induces Duality Between Minimizing Gradient Norm and Function Value
- NeurIPS 2023Topological Parallax: A Geometric Specification for Deep Perception Models
- NeurIPS 2023Topological RANSAC for instance verification and retrieval without fine-tuning
- NeurIPS 2023Towards Automated Circuit Discovery for Mechanistic Interpretability
- NeurIPS 2023Towards Better Dynamic Graph Learning: New Architecture and Unified Library
- NeurIPS 2023Towards Efficient and Accurate Winograd Convolution via Full Quantization
- NeurIPS 2023Towards Robust and Expressive Whole-body Human Pose and Shape Estimation
- NeurIPS 2023Trajectory Alignment: Understanding the Edge of Stability Phenomenon via Bifurcation Theory
- NeurIPS 2023TRIAGE: Characterizing and auditing training data for improved regression
- NeurIPS 2023Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints
- NeurIPS 2023Tuning Multi-mode Token-level Prompt Alignment across Modalities
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。