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 473 篇，第 9 / 10 页

401. ICLR 2025Spurious Forgetting in Continual Learning of Language Models
402. ICLR 2025Stealthy Shield Defense: A Conditional Mutual Information-Based Approach against Black-Box Model Inversion Attacks
403. ICLR 2025Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction
404. ICLR 2025Strategic Classification With Externalities
405. ICLR 2025Strong Preferences Affect the Robustness of Preference Models and Value Alignment
406. ICLR 2025Style Outweighs Substance: Failure Modes of LLM Judges in Alignment Benchmarking
407. ICLR 2025Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization
408. ICLR 2025SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction
409. ICLR 2025Support is All You Need for Certified VAE Training
410. ICLR 2025Surgical, Cheap, and Flexible: Mitigating False Refusal in Language Models via Single Vector Ablation
411. ICLR 2025Tailoring Mixup to Data for Calibration
412. ICLR 2025Taming Overconfidence in LLMs: Reward Calibration in RLHF
413. ICLR 2025Tamper-Resistant Safeguards for Open-Weight LLMs
414. ICLR 2025TASAR: Transfer-based Attack on Skeletal Action Recognition
415. ICLR 2025Test-time Adaptation for Regression by Subspace Alignment
416. ICLR 2025Test-time Alignment of Diffusion Models without Reward Over-optimization
417. ICLR 2025The Crucial Role of Samplers in Online Direct Preference Optimization
418. ICLR 2025The Effectiveness of Curvature-Based Rewiring and the Role of Hyperparameters in GNNs Revisited
419. ICLR 2025The Geometry of Categorical and Hierarchical Concepts in Large Language Models
420. ICLR 2025The Hidden Cost of Waiting for Accurate Predictions
421. ICLR 2025The Last Iterate Advantage: Empirical Auditing and Principled Heuristic Analysis of Differentially Private SGD
422. ICLR 2025The Optimization Landscape of SGD Across the Feature Learning Strength
423. ICLR 2025The Utility and Complexity of In- and Out-of-Distribution Machine Unlearning
424. ICLR 2025Tighter Privacy Auditing of DP-SGD in the Hidden State Threat Model
425. ICLR 2025TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights
426. ICLR 2025To Tackle Adversarial Transferability: A Novel Ensemble Training Method with Fourier Transformation
427. ICLR 2025To Trust or Not to Trust? Enhancing Large Language Models' Situated Faithfulness to External Contexts
428. ICLR 2025TODO: Enhancing LLM Alignment with Ternary Preferences
429. ICLR 2025Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment
430. ICLR 2025Towards a learning theory of representation alignment
431. ICLR 2025Towards Certification of Uncertainty Calibration under Adversarial Attacks
432. ICLR 2025Towards counterfactual fairness through auxiliary variables
433. ICLR 2025Towards Effective Evaluations and Comparisons for LLM Unlearning Methods
434. ICLR 2025Towards Federated RLHF with Aggregated Client Preference for LLMs
435. ICLR 2025Towards hyperparameter-free optimization with differential privacy
436. ICLR 2025Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization
437. ICLR 2025Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMs
438. ICLR 2025Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning
439. ICLR 2025Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It
440. ICLR 2025TPO: Aligning Large Language Models with Multi-branch & Multi-step Preference Trees
441. ICLR 2025Tracing Representation Progression: Analyzing and Enhancing Layer-Wise Similarity
442. ICLR 2025Training Robust Ensembles Requires Rethinking Lipschitz Continuity
443. ICLR 2025Training-Free Diffusion Model Alignment with Sampling Demons
444. ICLR 2025Training-free LLM-generated Text Detection by Mining Token Probability Sequences
445. ICLR 2025Transformers Learn Low Sensitivity Functions: Investigations and Implications
446. ICLR 2025Trust or Escalate: LLM Judges with Provable Guarantees for Human Agreement
447. ICLR 2025Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization
448. ICLR 2025Uncertainty and Influence aware Reward Model Refinement for Reinforcement Learning from Human Feedback
449. ICLR 2025Uncovering Gaps in How Humans and LLMs Interpret Subjective Language
450. ICLR 2025Understanding and Enhancing Safety Mechanisms of LLMs via Safety-Specific Neuron

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。