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 623 篇,第 9 / 13 页
- ICLR 2026Persona Features Control Emergent Misalignment
- ICLR 2026Personalized Reasoning: Just-in-time Personalization and Why LLMs Fail at It
- ICLR 2026PerSpectra: A Scalable and Configurable Pluralist Benchmark of Perspectives from Arguments
- ICLR 2026Perturbation-Induced Linearization: Constructing Unlearnable Data with Solely Linear Classifiers
- ICLR 2026Perturbed Dynamic Time Warping: A Probabilistic Framework and Generalized Variants
- ICLR 2026PetaGAIL++: Utility Optimized Private Trajectory Generation with Imitation Learning
- ICLR 2026PLAGUE: Plug-and-play Framework for Lifelong Adaptive Generation of Multi-turn Exploits
- ICLR 2026PLANETALIGN: A Comprehensive Python Library for Benchmarking Network Alignment
- ICLR 2026Plug-and-Play Fidelity Optimization for Diffusion Transformer Acceleration via Cumulative Error Minimization
- ICLR 2026PluriHarms: Benchmarking the Full Spectrum of Human Judgments on AI Harm
- ICLR 2026PMark: Towards Robust and Distortion-free Semantic-level Watermarking with Channel Constraints
- ICLR 2026PoliCon: Evaluating LLMs on Achieving Diverse Political Consensus Objectives
- ICLR 2026Polynomial, trigonometric, and tropical activations
- ICLR 2026PostAlign: Multimodal Grounding as a Corrective Lens for MLLMs
- ICLR 2026PosterCraft: Rethinking High-Quality Aesthetic Poster Generation in a Unified Framework
- ICLR 2026Pragma-VL: Towards a Pragmatic Arbitration of Safety and Helpfulness in MLLMs
- ICLR 2026Prediction with Expert Advice under Local Differential Privacy
- ICLR 2026Preference Leakage: A Contamination Problem in LLM-as-a-judge
- ICLR 2026Pretrain Value, Not Reward: Decoupled Value Policy Optimization
- ICLR 2026Pretrain–Test Task Alignment Governs Generalization in In-Context Learning
- ICLR 2026PRISON: Unmasking the Criminal Potential of Large Language Models
- ICLR 2026Privacy Beyond Pixels: Latent Anonymization for Privacy-Preserving Video Understanding
- ICLR 2026Private Rate-Constrained Optimization with Applications to Fair Learning
- ICLR 2026PromptHub: Enhancing Multi-Prompt Visual In-Context Learning with Locality-Aware Fusion, Concentration and Alignment
- ICLR 2026Propaganda AI: An Analysis of Semantic Divergence in Large Language Models
- ICLR 2026PropensityBench: Evaluating Latent Safety Risks in Large Language Models via an Agentic Approach
- ICLR 2026Property-Driven Protein Inverse Folding with Multi-Objective Preference Alignment
- ICLR 2026ProSafePrune: Projected Safety Pruning for Mitigating Over-Refusal in LLMs
- ICLR 2026Protection against Source Inference Attacks in Federated Learning
- ICLR 2026Pruning Long Chain-of-Thought of Large Reasoning Models via Small-Scale Preference Optimization
- ICLR 2026REAL: Reading Out Transformer Activations for Precise Localization in Language Model Steering
- ICLR 2026Reasoned Safety Alignment: Ensuring Jailbreak Defense via Answer-Then-Check
- ICLR 2026Reasoning Boosts Opinion Alignment in LLMs
- ICLR 2026RedCodeAgent: Automatic Red-teaming Agent against Diverse Code Agents
- ICLR 2026RedTeamCUA: Realistic Adversarial Testing of Computer-Use Agents in Hybrid Web-OS Environments
- ICLR 2026Reducing information dependency does not cause training data privacy. Adversarially non-robust features do.
- ICLR 2026References Improve LLM Alignment in Non-Verifiable Domains
- ICLR 2026Regulating Internal Evidence Flows for Robust Learning Under Spurious Correlations
- ICLR 2026Reinforcement Learning Fine-Tuning Enhances Activation Intensity and Diversity in the Internal Circuitry of LLMs
- ICLR 2026Reinforcement Unlearning via Group Relative Policy Optimization
- ICLR 2026Relationship Alignment for View-aware Multi-view Clustering
- ICLR 2026RelayFormer: A Unified Local-Global Attention Framework for Scalable Image and Video Manipulation Localization
- ICLR 2026Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization
- ICLR 2026Reliable Weak-to-Strong Monitoring of LLM Agents
- ICLR 2026RepIt: Steering Language Models with Concept-Specific Refusal Vectors
- ICLR 2026Representation Alignment for Diffusion Transformers without External Components
- ICLR 2026Representational Alignment Across Model Layers and Brain Regions with Hierarchical Optimal Transport
- ICLR 2026RESFL: An Uncertainty-Aware Framework for Responsible Federated Learning by Balancing Privacy, Fairness and Utility
- ICLR 2026Rethinking Benign Relearning: Syntax as the Hidden Driver of Unlearning Failures
- ICLR 2026Rethinking Bottlenecks in Safety Fine-Tuning of Vision Language Models
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。