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 300 篇,第 1 / 6 页
- ICML 2025$\mathcal{V}ista\mathcal{DPO}$: Video Hierarchical Spatial-Temporal Direct Preference Optimization for Large Video Models
- ICML 2025$S^2$FGL: Spatial Spectral Federated Graph Learning
- ICML 2025A Checks-and-Balances Framework for Context-Aware Ethical AI Alignment
- ICML 2025A Generic Family of Graphical Models: Diversity, Efficiency, and Heterogeneity
- ICML 2025A Physics-Informed Machine Learning Framework for Safe and Optimal Control of Autonomous Systems
- ICML 2025A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization
- ICML 2025A Unified Theoretical Analysis of Private and Robust Offline Alignment: from RLHF to DPO
- ICML 2025Accelerating LLM Inference with Lossless Speculative Decoding Algorithms for Heterogeneous Vocabularies
- ICML 2025Achieving Linear Speedup and Near-Optimal Complexity for Decentralized Optimization over Row-stochastic Networks
- ICML 2025Activation Space Interventions Can Be Transferred Between Large Language Models
- ICML 2025Active Reward Modeling: Adaptive Preference Labeling for Large Language Model Alignment
- ICML 2025Adapting While Learning: Grounding LLMs for Scientific Problems with Tool Usage Adaptation
- ICML 2025Adaptive Estimation and Learning under Temporal Distribution Shift
- ICML 2025Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization
- ICML 2025ADHMR: Aligning Diffusion-based Human Mesh Recovery via Direct Preference Optimization
- ICML 2025AdvAgent: Controllable Blackbox Red-teaming on Web Agents
- ICML 2025Adversaries Can Misuse Combinations of Safe Models
- ICML 2025AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs
- ICML 2025AEQA-NAT : Adaptive End-to-end Quantization Alignment Training Framework for Non-autoregressive Machine Translation
- ICML 2025Aligning Multimodal Representations through an Information Bottleneck
- ICML 2025Aligning Spoken Dialogue Models from User Interactions
- ICML 2025Aligning with Logic: Measuring, Evaluating and Improving Logical Preference Consistency in Large Language Models
- ICML 2025AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization
- ICML 2025AlphaPO: Reward Shape Matters for LLM Alignment
- ICML 2025AMPO: Active Multi Preference Optimization for Self-play Preference Selection
- ICML 2025Antidote: Post-fine-tuning Safety Alignment for Large Language Models against Harmful Fine-tuning Attack
- ICML 2025Assessing Safety Risks and Quantization-aware Safety Patching for Quantized Large Language Models
- ICML 2025Automated Red Teaming with GOAT: the Generative Offensive Agent Tester
- ICML 2025Avoiding Catastrophe in Online Learning by Asking for Help
- ICML 2025Bayesian Optimization from Human Feedback: Near-Optimal Regret Bounds
- ICML 2025BDC-CLIP: Brownian Distance Covariance for Adapting CLIP to Action Recognition
- ICML 2025Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks Safety
- ICML 2025Beyond Bradley-Terry Models: A General Preference Model for Language Model Alignment
- ICML 2025BILBO: BILevel Bayesian Optimization
- ICML 2025Boosting Adversarial Robustness with CLAT: Criticality Leveraged Adversarial Training
- ICML 2025BOPO: Neural Combinatorial Optimization via Best-anchored and Objective-guided Preference Optimization
- ICML 2025Bounded Rationality for LLMs: Satisficing Alignment at Inference-Time
- ICML 2025BounDr.E: Predicting Drug-likeness via Biomedical Knowledge Alignment and EM-like One-Class Boundary Optimization
- ICML 2025Breaking Barriers: Combinatorial Algorithms for Non-Monotone Submodular Maximization with Sublinear Adaptivity and $1/e$ Approximation
- ICML 2025Calibrated Language Models and How to Find Them with Label Smoothing
- ICML 2025Calibrating Video Watch-time Predictions with Credible Prototype Alignment
- ICML 2025Can RLHF be More Efficient with Imperfect Reward Models? A Policy Coverage Perspective
- ICML 2025Cannot See the Forest for the Trees: Invoking Heuristics and Biases to Elicit Irrational Choices of LLMs
- ICML 2025CASE-Bench: Context-Aware SafEty Benchmark for Large Language Models
- ICML 2025Clipped SGD Algorithms for Performative Prediction: Tight Bounds for Stochastic Bias and Remedies
- ICML 2025Clipping Improves Adam-Norm and AdaGrad-Norm when the Noise Is Heavy-Tailed
- ICML 2025Clone-Robust AI Alignment
- ICML 2025CodeSteer: Symbolic-Augmented Language Models via Code/Text Guidance
- ICML 2025Comparing Comparisons: Informative and Easy Human Feedback with Distinguishability Queries
- ICML 2025Comparing Few to Rank Many: Active Human Preference Learning Using Randomized Frank-Wolfe Method
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。