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 455 篇,第 5 / 10 页
- NeurIPS 2025Inference-time Alignment in Continuous Space
- NeurIPS 2025Inference-Time Personalized Alignment with a Few User Preference Queries
- NeurIPS 2025Inference-Time Reward Hacking in Large Language Models
- NeurIPS 2025Inference-Time Scaling for Flow Models via Stochastic Generation and Rollover Budget Forcing
- NeurIPS 2025Inference-Time Text-to-Video Alignment with Diffusion Latent Beam Search
- NeurIPS 2025InfiFPO: Implicit Model Fusion via Preference Optimization in Large Language Models
- NeurIPS 2025Information Retrieval Induced Safety Degradation in AI Agents
- NeurIPS 2025Information-Theoretic Reward Decomposition for Generalizable RLHF
- NeurIPS 2025Infrequent Exploration in Linear Bandits
- NeurIPS 2025Integrating Drug Substructures and Longitudinal Electronic Health Records for Personalized Drug Recommendation
- NeurIPS 2025Intermediate Domain Alignment and Morphology Analogy for Patent-Product Image Retrieval
- NeurIPS 2025InterMT: Multi-Turn Interleaved Preference Alignment with Human Feedback
- NeurIPS 2025IPAD: Inverse Prompt for AI Detection - A Robust and Interpretable LLM-Generated Text Detector
- NeurIPS 2025JADE: Joint Alignment and Deep Embedding for Multi-Slice Spatial Transcriptomics
- NeurIPS 2025JailBound: Jailbreaking Internal Safety Boundaries of Vision-Language Models
- NeurIPS 2025Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy
- NeurIPS 2025KL Penalty Control via Perturbation for Direct Preference Optimization
- NeurIPS 2025KL-Regularized RLHF with Multiple Reference Models: Exact Solutions and Sample Complexity
- NeurIPS 2025LABridge: Text–Image Latent Alignment Framework via Mean-Conditioned OU Process
- NeurIPS 2025Language Model Behavioral Phases are Consistent Across Architecture, Training Data, and Scale
- NeurIPS 2025Language Models Are Capable of Metacognitive Monitoring and Control of Their Internal Activations
- NeurIPS 2025Large language models can learn and generalize steganographic chain-of-thought under process supervision
- NeurIPS 2025LARGO: Latent Adversarial Reflection through Gradient Optimization for Jailbreaking LLMs
- NeurIPS 2025LASeR: Learning to Adaptively Select Reward Models with Multi-Arm Bandits
- NeurIPS 2025Latent Harmony: Synergistic Unified UHD Image Restoration via Latent Space Regularization and Controllable Refinement
- NeurIPS 2025LayerNavigator: Finding Promising Intervention Layers for Efficient Activation Steering in Large Language Models
- NeurIPS 2025Learning “Partner-Aware” Collaborators in Multi-Party Collaboration
- NeurIPS 2025Learning a Cross-Modal Schrödinger Bridge for Visual Domain Generalization
- NeurIPS 2025Learning single index models via harmonic decomposition
- NeurIPS 2025Learning to Add, Multiply, and Execute Algorithmic Instructions Exactly with Neural Networks
- NeurIPS 2025Learning to Steer: Input-dependent Steering for Multimodal LLMs
- NeurIPS 2025Less is More: Improving LLM Alignment via Preference Data Selection
- NeurIPS 2025Let a Neural Network be Your Invariant
- NeurIPS 2025Leveraging Importance Sampling to Detach Alignment Modules from Large Language Models
- NeurIPS 2025Leveraging robust optimization for llm alignment under distribution shifts
- NeurIPS 2025LeVo: High-Quality Song Generation with Multi-Preference Alignment
- NeurIPS 2025Lifelong Safety Alignment for Language Models
- NeurIPS 2025LLM Safety Alignment is Divergence Estimation in Disguise
- NeurIPS 2025LLMs Encode Harmfulness and Refusal Separately
- NeurIPS 2025LongVPO: From Anchored Cues to Self-Reasoning for Long-Form Video Preference Optimization
- NeurIPS 2025Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy and Research
- NeurIPS 2025macOSWorld: A Multilingual Interactive Benchmark for GUI Agents
- NeurIPS 2025Many LLMs Are More Utilitarian Than One
- NeurIPS 2025Matchings Under Biased and Correlated Evaluations
- NeurIPS 2025Measuring and Guiding Monosemanticity
- NeurIPS 2025Mechanism Design for LLM Fine-tuning with Multiple Reward Models
- NeurIPS 2025Median Selection with Noisy and Structural Information
- NeurIPS 2025Mesh-RFT: Enhancing Mesh Generation via Fine-grained Reinforcement Fine-Tuning
- NeurIPS 2025Meta-Learning Objectives for Preference Optimization
- NeurIPS 2025MGUP: A Momentum-Gradient Alignment Update Policy for Stochastic Optimization
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。