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 473 篇,第 3 / 10 页
- ICLR 2025Convergence and Implicit Bias of Gradient Descent on Continual Linear Classification
- ICLR 2025Convergent Privacy Loss of Noisy-SGD without Convexity and Smoothness
- ICLR 2025Copyright-Protected Language Generation via Adaptive Model Fusion
- ICLR 2025Correcting the Mythos of KL-Regularization: Direct Alignment without Overoptimization via Chi-Squared Preference Optimization
- ICLR 2025Correlated Proxies: A New Definition and Improved Mitigation for Reward Hacking
- ICLR 2025CREAM: Consistency Regularized Self-Rewarding Language Models
- ICLR 2025Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models
- ICLR 2025Ctrl-U: Robust Conditional Image Generation via Uncertainty-aware Reward Modeling
- ICLR 2025DailyDilemmas: Revealing Value Preferences of LLMs with Quandaries of Daily Life
- ICLR 2025DarkBench: Benchmarking Dark Patterns in Large Language Models
- ICLR 2025Data Distillation for extrapolative protein design through exact preference optimization
- ICLR 2025Data Taggants: Dataset Ownership Verification Via Harmless Targeted Data Poisoning
- ICLR 2025Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning
- ICLR 2025Dataset Ownership Verification in Contrastive Pre-trained Models
- ICLR 2025DCT-CryptoNets: Scaling Private Inference in the Frequency Domain
- ICLR 2025Deep Kernel Relative Test for Machine-generated Text Detection
- ICLR 2025Democratic Training Against Universal Adversarial Perturbations
- ICLR 2025Detecting Backdoor Samples in Contrastive Language Image Pretraining
- ICLR 2025Differentiable Optimization of Similarity Scores Between Models and Brains
- ICLR 2025Differentially Private Federated Learning with Time-Adaptive Privacy Spending
- ICLR 2025Differentially private optimization for non-decomposable objective functions
- ICLR 2025Differentially Private Steering for Large Language Model Alignment
- ICLR 2025Diffusion-NPO: Negative Preference Optimization for Better Preference Aligned Generation of Diffusion Models
- ICLR 2025DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing
- ICLR 2025Direct Post-Training Preference Alignment for Multi-Agent Motion Generation Model Using Implicit Feedback from Pre-training Demonstrations
- ICLR 2025DiSK: Differentially Private Optimizer with Simplified Kalman Filter for Noise Reduction
- ICLR 2025Dissecting Adversarial Robustness of Multimodal LM Agents
- ICLR 2025Diverse Preference Learning for Capabilities and Alignment
- ICLR 2025Do as I do (Safely): Mitigating Task-Specific Fine-tuning Risks in Large Language Models
- ICLR 2025DocMIA: Document-Level Membership Inference Attacks against DocVQA Models
- ICLR 2025Does Refusal Training in LLMs Generalize to the Past Tense?
- ICLR 2025Does Safety Training of LLMs Generalize to Semantically Related Natural Prompts?
- ICLR 2025DSPO: Direct Score Preference Optimization for Diffusion Model Alignment
- ICLR 2025Durable Quantization Conditioned Misalignment Attack on Large Language Models
- ICLR 2025DynAlign: Unsupervised Dynamic Taxonomy Alignment for Cross-Domain Segmentation
- ICLR 2025Dynamic Neural Fortresses: An Adaptive Shield for Model Extraction Defense
- ICLR 2025DynFrs: An Efficient Framework for Machine Unlearning in Random Forest
- ICLR 2025Earlier Tokens Contribute More: Learning Direct Preference Optimization From Temporal Decay Perspective
- ICLR 2025Effective Interplay between Sparsity and Quantization: From Theory to Practice
- ICLR 2025Efficient and Robust Neural Combinatorial Optimization via Wasserstein-Based Coresets
- ICLR 2025Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets
- ICLR 2025EIA: ENVIRONMENTAL INJECTION ATTACK ON GENERALIST WEB AGENTS FOR PRIVACY LEAKAGE
- ICLR 2025Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models
- ICLR 2025EMMA: Empowering Multi-modal Mamba with Structural and Hierarchical Alignment
- ICLR 2025Encryption-Friendly LLM Architecture
- ICLR 2025Endless Jailbreaks with Bijection Learning
- ICLR 2025Endowing Visual Reprogramming with Adversarial Robustness
- ICLR 2025Energy-based Backdoor Defense Against Federated Graph Learning
- ICLR 2025Enhance Multi-View Classification Through Multi-Scale Alignment and Expanded Boundary
- ICLR 2025Enhancing Clustered Federated Learning: Integration of Strategies and Improved Methodologies
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。