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 438 篇,第 7 / 9 页
- NeurIPS 2023(S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability
- NeurIPS 2023[Re] Bandit Theory and Thompson Sampling-guided Directed Evolution for Sequence Optimization
- NeurIPS 2023[Re] VAE Approximation Error: ELBO and Exponential Families
- NeurIPS 2023A Combinatorial Algorithm for Approximating the Optimal Transport in the Parallel and MPC Settings
- NeurIPS 2023A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation
- NeurIPS 2023A Spectral Theory of Neural Prediction and Alignment
- NeurIPS 2023Abide by the law and follow the flow: conservation laws for gradient flows
- NeurIPS 2023Alignment with human representations supports robust few-shot learning
- NeurIPS 2023Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception
- NeurIPS 2023BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset
- NeurIPS 2023BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for Training and Benchmarking Agents that Solve Fuzzy Tasks
- NeurIPS 2023Behavior Alignment via Reward Function Optimization
- NeurIPS 2023Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces
- NeurIPS 2023Brain-like Flexible Visual Inference by Harnessing Feedback Feedforward Alignment
- NeurIPS 2023Bridging Discrete and Backpropagation: Straight-Through and Beyond
- NeurIPS 2023Cascading Contextual Assortment Bandits
- NeurIPS 2023Closing the gap between the upper bound and lower bound of Adam's iteration complexity
- NeurIPS 2023Collaborative Alignment of NLP Models
- NeurIPS 2023Convex and Non-convex Optimization Under Generalized Smoothness
- NeurIPS 2023Data-Dependent Bounds for Online Portfolio Selection Without Lipschitzness and Smoothness
- NeurIPS 2023Data-Driven Network Neuroscience: On Data Collection and Benchmark
- NeurIPS 2023Decentralized Matrix Sensing: Statistical Guarantees and Fast Convergence
- NeurIPS 2023Degraded Polygons Raise Fundamental Questions of Neural Network Perception
- NeurIPS 2023DICES Dataset: Diversity in Conversational AI Evaluation for Safety
- NeurIPS 2023Direct Preference Optimization: Your Language Model is Secretly a Reward Model
- NeurIPS 2023Direct Preference-based Policy Optimization without Reward Modeling
- NeurIPS 2023Discover and Align Taxonomic Context Priors for Open-world Semi-Supervised Learning
- NeurIPS 2023Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand
- NeurIPS 2023Don’t blame Dataset Shift! Shortcut Learning due to Gradients and Cross Entropy
- NeurIPS 2023Effective Human-AI Teams via Learned Natural Language Rules and Onboarding
- NeurIPS 2023Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks
- NeurIPS 2023Exact Verification of ReLU Neural Control Barrier Functions
- NeurIPS 2023Expert load matters: operating networks at high accuracy and low manual effort
- NeurIPS 2023Explainable and Efficient Randomized Voting Rules
- NeurIPS 2023Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Models
- NeurIPS 2023Fast and Simple Spectral Clustering in Theory and Practice
- NeurIPS 2023FD-Align: Feature Discrimination Alignment for Fine-tuning Pre-Trained Models in Few-Shot Learning
- NeurIPS 2023Feature learning via mean-field Langevin dynamics: classifying sparse parities and beyond
- NeurIPS 2023Framework and Benchmarks for Combinatorial and Mixed-variable Bayesian Optimization
- NeurIPS 2023GALOPA: Graph Transport Learning with Optimal Plan Alignment
- NeurIPS 2023Generalized equivalences between subsampling and ridge regularization
- NeurIPS 2023GeoCLIP: Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization
- NeurIPS 2023Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis
- NeurIPS 2023Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery
- NeurIPS 2023Honesty Is the Best Policy: Defining and Mitigating AI Deception
- NeurIPS 2023Imitation Learning from Imperfection: Theoretical Justifications and Algorithms
- NeurIPS 2023Inference-Time Intervention: Eliciting Truthful Answers from a Language Model
- NeurIPS 2023Initialization-Dependent Sample Complexity of Linear Predictors and Neural Networks
- NeurIPS 2023Interpretability at Scale: Identifying Causal Mechanisms in Alpaca
- NeurIPS 2023IPMix: Label-Preserving Data Augmentation Method for Training Robust Classifiers
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。