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 1,198 篇,第 10 / 24 页
- ICML 2026State-Dependent Safety Failures in Multi-Turn Language Model Interaction
- ICML 2026Steal the Patch Size: Adversarially Manipulate Vision Language Models
- ICML 2026Steering at the Source: Style Modulation Heads for Robust Persona Control
- ICML 2026Steering Beyond the Support: Adversarial Training on Unsupervised Jailbroken Activation Simulation
- ICML 2026Steering Out-of-Distribution Generalization with Concept Ablation Fine-Tuning
- ICML 2026SteeringSafety: Benchmarking Representation Steering in LLMs Across Safety Perspectives
- ICML 2026STLA: Spatiotemporal Lookahead Alignment for Post-Training Quantization
- ICML 2026Stochastic Minimum-Cost Reach-Avoid Reinforcement Learning
- ICML 2026Structured Multi-step Jailbreaking under a Hamiltonian Generative Formulation
- ICML 2026Submodular Optimization for Minimal Augmentation in Robust Language Model Alignment
- ICML 2026Supervised Classification Heads as Semantic Prototypes: Unlocking Vision-Language Alignment via Weight Recycling
- ICML 2026Sycophancy Towards Researchers Drives Performative Misalignment
- ICML 2026T-GINEE: A Tensor-Based Multi-Graph Representation Learning
- ICML 2026T-POP: Test-Time Personalization with Online Preference Feedback
- ICML 2026Tackling Fake Forgetting through Uncertainty Quantification
- ICML 2026Tackling Length Inflation Without Trade-offs: Group Relative Reward Rescaling for Reinforcement Learning
- ICML 2026Talk, Judge, Cooperate: Gossip-Driven Indirect Reciprocity in Self-Interested LLM Agents
- ICML 2026Task-Aware Preference Calibration for Direct Preference Optimization
- ICML 2026Task-Awareness Improves LLM Generations and Uncertainty
- ICML 2026Temporal Preference Optimization for Unsupervised Retrieval
- ICML 2026Temporal Self-Rewarding Language Models: Decoupling Chosen-Rejected via Past-Future
- ICML 2026Test-Time Detoxification without Training or Learning Anything
- ICML 2026The Assistant Axis: Situating and Stabilizing the Default Persona of Language Models
- ICML 2026The Axiomatic Value of Regularization in AI Alignment from Human Preferences
- ICML 2026The benefits of full data shuffle, now with optimal I/O cost: $k$-wise independence and matrix transposition to the rescue
- ICML 2026The Differences Between Direct Alignment Algorithms are a Blur
- ICML 2026The Geometric Mechanics of Contrastive Representation Learning: Alignment Potentials, Entropic Dispersion, and Cross-Modal Divergence
- ICML 2026The Geometry of Projection Heads: Conditioning, Invariance, and Collapse
- ICML 2026The Geometry of Updates: Fisher Alignment at Vocabulary Scale
- ICML 2026The Heterogeneous Safety Impacts of Benign Multilingual Fine-Tuning
- ICML 2026The Hidden Link between RLHF and Contrastive Learning
- ICML 2026The Implicit Bias of Adam and Muon on Smooth Homogeneous Neural Networks
- ICML 2026The Labyrinth and the Thread: Rethinking Regularizations in Sequential Knowledge Editing for Large Language Models
- ICML 2026The Oversight Game: Learning to Cooperatively Balance an AI Agent's Safety and Autonomy
- ICML 2026The Pareto-optimal Trade-off between Regret and Statistical Inference in Linear Stochastic Bandits under Safety Constraints
- ICML 2026The Perception–Physics Paradox: Probing Scientific Alignment with TC-Bench
- ICML 2026The Personality Illusion: Revealing Dissociation Between Self-Reports & Behavior in LLMs
- ICML 2026The Realignment Problem: When Right becomes Wrong in LLMs
- ICML 2026The Sign Estimator: Preference Modeling for LLM Alignment under Heterogeneity
- ICML 2026The Theory and Practice of MAP Inference over Non-Convex Constraints
- ICML 2026The Trojan Knowledge: Bypassing Commercial LLM Guardrails via Harmless Prompt Weaving and Adaptive Tree Search
- ICML 2026Theoretical Analysis of Sparse Optimization with Reparameterization, Weight Decay, and Adaptive Learning Rate
- ICML 2026Theoretical Challenges in Learning for Branch-and-Cut
- ICML 2026Think Twice Before You Act: Enhancing Agent Behavioral Safety with Thought Correction
- ICML 2026Threshold-Guided Optimization for Visual Generative Models
- ICML 2026Through the Stealth Lens: Attention-Aware Defenses Against Poisoning in RAG
- ICML 2026Time Series, Vision, and Language: Exploring the Limits of Alignment in Contrastive Representation Spaces
- ICML 2026TMD-Bench: A Multi-Level Evaluation Paradigm for Music–Dance Co-Generation
- ICML 2026TokenRatio: Principled Token-Level Preference Optimization via Ratio Matching
- ICML 2026Toward Safe Quantization-Aware Fine-tuning: Understanding and Mitigating Safety Alignment Degradation
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。