对齐与安全论文趋势 2023–2026

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。

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 13 / 13 页

601. ICLR 2026WARP: Weight Teleportation for Attack-Resilient Unlearning Protocols
602. ICLR 2026Watch the Weights: Unsupervised monitoring and control of fine-tuned LLMs
603. ICLR 2026Watch your steps: Dormant Adversarial Behaviors that Activate upon LLM Finetuning
604. ICLR 2026WaterDrum: Watermark-based Data-centric Unlearning Metric
605. ICLR 2026Watermark-based Attribution of AI-Generated Content
606. ICLR 2026Weak-to-Strong Generalization with Failure Trajectories
607. ICLR 2026What Do Large Language Models Know About Opinions?
608. ICLR 2026What happens when generative AI models train recursively on each others' outputs?
609. ICLR 2026What matters for Representation Alignment: Global Information or Spatial Structure?
610. ICLR 2026What's In My Human Feedback? Learning Interpretable Descriptions of Preference Data
611. ICLR 2026What's the plan? Metrics for implicit planning in LLMs and their application to rhyme generation
612. ICLR 2026When Data is the Algorithm: A Systematic Study and Curation of Preference Optimization Datasets
613. ICLR 2026When Language Models Lose Their Mind: The Consequences of Brain Misalignment
614. ICLR 2026When Machine Learning Gets Personal: Evaluating Prediction and Explanation
615. ICLR 2026When Priors Backfire: On the Vulnerability of Unlearnable Examples to Pretraining
616. ICLR 2026When Style Breaks Safety: Defending LLMs Against Superficial Style Alignment
617. ICLR 2026When Weak LLMs Speak with Confidence, Preference Alignment Gets Stronger
618. ICLR 2026Where Did It Go Wrong? Attributing Undesirable LLM Behaviors via Representation Gradient Tracing
619. ICLR 2026Why DPO is a Misspecified Estimator and How to Fix It
620. ICLR 2026Will AI Tell Lies to Save Sick Children? Litmus-Testing AI Values Prioritization with AIRiskDilemmas
621. ICLR 2026Winter Soldier: Backdooring Language Models at Pre-Training with Indirect Data Poisoning
622. ICLR 2026Your Agent May Misevolve: Emergent Risks in Self-evolving LLM Agents
623. ICLR 2026Zero-Sacrifice Persistent-Robustness Adversarial Defense for Pre-Trained Encoders

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。