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 3 / 27 页
- ICLR 2026Closing the Modality Gap Aligns Group-Wise Semantics
- ICLR 2026Closing the Safety Gap: Surgical Concept Erasure in Visual Autoregressive Models
- ICLR 2026Co-occurring Associated REtained concepts in Diffusion Unlearning
- ICLR 2026CoDA: From Text-to-Image Diffusion Models to Training-Free Dataset Distillation
- ICLR 2026CodeGenGuard: A Robust Watermark for Code Generation Models
- ICLR 2026CoFact: Conformal Factuality Guarantees for Language Models under Distribution Shift
- ICLR 2026CogFlow: Bridging Perception and Reasoning through Knowledge Internalization for Visual Mathematical Problem Solving
- ICLR 2026COMAL: A Convergent Meta-Algorithm for Aligning LLMs with General Preferences
- ICLR 2026Completed Hyperparameter Transfer across Modules, Width, Depth, Batch and Duration
- ICLR 2026Concept-Aware Privacy Mechanisms for Defending Embedding Inversion Attacks
- ICLR 2026ConRep4CO: Contrastive Representation Learning of Combinatorial Optimization Instances across Types
- ICLR 2026Consis-GCPO: Consistency-Preserving Group Causal Preference Optimization for Vision Customization
- ICLR 2026Consistent Noisy Latent Rewards for Trajectory Preference Optimization in Diffusion Models
- ICLR 2026Constitutional Classifiers++: Production-Grade Defenses against Universal Jailbreaks
- ICLR 2026ContextBench: Modifying Contexts for Targeted Latent Activation and Behaviour Elicitation
- ICLR 2026Control Tax: The Price of Keeping AI in Check
- ICLR 2026Convergence Analysis of Tsetlin Machines under Noise-Free and Noisy Training Conditions: from $2$ Bits to $k$ Bits
- ICLR 2026Convergent Differential Privacy Analysis for General Federated Learning
- ICLR 2026Convex Dominance in Deep Learning I: A Scaling Law of Loss and Learning Rate
- ICLR 2026Counterfactual LLM-based Framework for Measuring Rhetorical Style
- ICLR 2026Critical Confabulation: Can LLMs Hallucinate for Social Good?
- ICLR 2026Cultivating Pluralism In Algorithmic Monoculture: The Community Alignment Dataset
- ICLR 2026Curation Leaks: Membership Inference Attacks against Data Curation for Machine Learning
- ICLR 2026D&R: Recovery-based AI-Generated Text Detection via a Single Black-box LLM Call
- ICLR 2026Data Aware and Scalable Sensitivity Analysis for Decision Tree Ensembles
- ICLR 2026Data Selection for LLM Alignment Using Fine-Grained Preferences
- ICLR 2026DecAlign: Hierarchical Cross-Modal Alignment for Decoupled Multimodal Representation Learning
- ICLR 2026Decomposing Extrapolative Problem Solving: Spatial Transfer and Length Scaling with Map Worlds
- ICLR 2026Decoupling Primitive with Experts: Dynamic Feature Alignment for Compositional Zero-Shot Learning
- ICLR 2026Deep Ignorance: Filtering Pretraining Data Builds Tamper-Resistant Safeguards into Open-Weight LLMs
- ICLR 2026Deep Latent Variable Model based Vertical Federated Learning with Flexible Alignment and Labeling Scenarios
- ICLR 2026Defending against Backdoor Attacks via Module Switching
- ICLR 2026DeRaDiff: Denoising Time Realignment of Diffusion Models
- ICLR 2026Developmental Federated Tuning: A Cognitive-Inspired Paradigm for Efficient LLM Adaptation
- ICLR 2026Differentially Private Domain Discovery
- ICLR 2026DiffuGuard: How Intrinsic Safety is Lost and Found in Diffusion Large Language Models
- ICLR 2026Diffusion Alignment as Variataional Expectation-Maximization
- ICLR 2026Diffusion Negative Preference Optimization Made Simple
- ICLR 2026Direct Preference Optimization for Primitive-Enabled Hierarchical RL: A Bilevel Approach
- ICLR 2026Direct Reward Fine-Tuning on Poses for Single Image to 3D Human in the Wild
- ICLR 2026Discern Truth from Falsehood: Reducing Over-Refusal via Contrastive Refinement
- ICLR 2026Discrete Diffusion Trajectory Alignment via Stepwise Decomposition
- ICLR 2026Disentangling Length Bias in Preference Learning via Response-Conditioned Modeling
- ICLR 2026Disentangling the Factors of Convergence between Brains and Computer Vision Models
- ICLR 2026Displacement-Resistant Extensions of DPO with Nonconvex $f$-Divergences
- ICLR 2026DistDF: Time-series Forecasting Needs Joint-distribution Wasserstein Alignment
- ICLR 2026Distilling the Thought, Watermarking the Answer: A Principle Semantic Guided Watermark for Reasoning Large Language Models
- ICLR 2026Distributional Vision-Language Alignment by Cauchy-Schwarz Divergence
- ICLR 2026DIVERSE: Disagreement-Inducing Vector Evolution for Rashomon Set Exploration
- ICLR 2026Do Large Language Models Know What They Are Capable Of?
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。