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 300 篇,第 2 / 6 页
- ICML 2025Compelling ReLU Networks to Exhibit Exponentially Many Linear Regions at Initialization and During Training
- ICML 2025Compressing tree ensembles through Level-wise Optimization and Pruning
- ICML 2025Computing Optimal Transport Maps and Wasserstein Barycenters Using Conditional Normalizing Flows
- ICML 2025Conformal Tail Risk Control for Large Language Model Alignment
- ICML 2025ConfPO: Exploiting Policy Model Confidence for Critical Token Selection in Preference Optimization
- ICML 2025Constrain Alignment with Sparse Autoencoders
- ICML 2025Contextual Optimization Under Model Misspecification: A Tractable and Generalizable Approach
- ICML 2025Counting in Small Transformers: The Delicate Interplay between Attention and Feed-Forward Layers
- ICML 2025Cross-City Latent Space Alignment for Consistency Region Embedding
- ICML 2025CSV-Occ: Fusing Multi-frame Alignment for Occupancy Prediction with Temporal Cross State Space Model and Central Voting Mechanism
- ICML 2025DAMA: Data- and Model-aware Alignment of Multi-modal LLMs
- ICML 2025DANCE: Dual Unbiased Expansion with Group-acquired Alignment for Out-of-distribution Graph Fairness Learning
- ICML 2025Deep Linear Network Training Dynamics from Random Initialization: Data, Width, Depth, and Hyperparameter Transfer
- ICML 2025Defending LVLMs Against Vision Attacks Through Partial-Perception Supervision
- ICML 2025Design Considerations in Offline Preference-based RL
- ICML 2025Differentiable Quadratic Optimization For the Maximum Independent Set Problem
- ICML 2025Direct Density Ratio Optimization: A Statistically Consistent Approach to Aligning Large Language Models
- ICML 2025Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator
- ICML 2025Discrete and Continuous Difference of Submodular Minimization
- ICML 2025Discriminative Finetuning of Generative Large Language Models without Reward Models and Human Preference Data
- ICML 2025Distributed Retraction-Free and Communication-Efficient Optimization on the Stiefel Manifold
- ICML 2025Diverging Preferences: When do Annotators Disagree and do Models Know?
- ICML 2025Don't Restart, Just Reuse: Reoptimizing MILPs with Dynamic Parameters
- ICML 2025DPO Meets PPO: Reinforced Token Optimization for RLHF
- ICML 2025DreamDPO: Aligning Text-to-3D Generation with Human Preferences via Direct Preference Optimization
- ICML 2025Edge-Colored Clustering in Hypergraphs: Beyond Minimizing Unsatisfied Edges
- ICML 2025Eigen Analysis of Conjugate Kernel and Neural Tangent Kernel
- ICML 2025Eliciting Language Model Behaviors with Investigator Agents
- ICML 2025ELITE: Enhanced Language-Image Toxicity Evaluation for Safety
- ICML 2025ELMO : Efficiency via Low-precision and Peak Memory Optimization in Large Output Spaces
- ICML 2025Emergent Misalignment: Narrow finetuning can produce broadly misaligned LLMs
- ICML 2025Energy-Based Preference Model Offers Better Offline Alignment than the Bradley-Terry Preference Model
- ICML 2025Enhancing Ligand Validity and Affinity in Structure-Based Drug Design with Multi-Reward Optimization
- ICML 2025Enhancing Parallelism in Decentralized Stochastic Convex Optimization
- ICML 2025Enhancing Spectral GNNs: From Topology and Perturbation Perspectives
- ICML 2025EquivaMap: Leveraging LLMs for Automatic Equivalence Checking of Optimization Formulations
- ICML 2025EraseAnything: Enabling Concept Erasure in Rectified Flow Transformers
- ICML 2025Evolving Prompts In-Context: An Open-ended, Self-replicating Perspective
- ICML 2025Exact risk curves of signSGD in High-Dimensions: quantifying preconditioning and noise-compression effects
- ICML 2025Explicit Preference Optimization: No Need for an Implicit Reward Model
- ICML 2025Faster Global Minimum Cut with Predictions
- ICML 2025Features are fate: a theory of transfer learning in high-dimensional regression
- ICML 2025FlipAttack: Jailbreak LLMs via Flipping
- ICML 2025Flow Matching for Few-Trial Neural Adaptation with Stable Latent Dynamics
- ICML 2025Functional Alignment Can Mislead: Examining Model Stitching
- ICML 2025Fusing Reward and Dueling Feedback in Stochastic Bandits
- ICML 2025Gandalf the Red: Adaptive Security for LLMs
- ICML 2025Generalizing from SIMPLE to HARD Visual Reasoning: Can We Mitigate Modality Imbalance in VLMs?
- ICML 2025Global Convergence and Rich Feature Learning in $L$-Layer Infinite-Width Neural Networks under $\mu$ Parametrization
- ICML 2025Global Optimization with a Power-Transformed Objective and Gaussian Smoothing
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。