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 1,882 篇,第 32 / 38 页
- NeurIPS 2026Fast Alignment of Embeddings: Computational Guarantees for Anisotropic Procrustes-Wasserstein
- NeurIPS 2026Fast and Consistent Structure Learning in Graphical Models via Approximate Cross-Validation
- NeurIPS 2026Fast and slow gradient descent dynamics of logistic regression through weak alignment
- NeurIPS 2026Fast Approximate $\ell_p$ Chamfer Distance via Lopsided Embeddings and Structured JL
- NeurIPS 2026Fault Tolerance in Transformers Favors Output Alignment over Hidden-State Consistency
- NeurIPS 2026Fed-AGA: An Anchor Graph Alignment Framework for Federated Unaligned Multi-view Clustering
- NeurIPS 2026Federate the Router: Learning Language Model Routers with Sparse and Decentralized Evaluations
- NeurIPS 2026Feeling of Knowing in Large Language Models
- NeurIPS 2026Few-Shot Truly Benign DPO Attack for Jailbreaking LLMs
- NeurIPS 2026Fill the GAP: A Granular Alignment Paradigm for Visual Reasoning in Multimodal Large Language Models
- NeurIPS 2026Fine-tuning Does Not Reach All: Uneven Safety and Knowledge Dynamics in Language Models
- NeurIPS 2026FiTS: Interpretable Spiking Neurons via Frequency Selectivity and Temporal Shaping
- NeurIPS 2026FLIP: Fast and Accurate Global Lipschitz Estimation for Large Feedforward Networks
- NeurIPS 2026FOAM: Factored One-sided Adam-Moment for Practical and Scalable SOAP
- NeurIPS 2026FocusBranch: Combinatorial Branch-and-Bound for $\ell_0$ Neural Network Robustness Verification
- NeurIPS 2026Forest-Guided Semantic Transport for Label-Supervised Manifold Alignment
- NeurIPS 2026From Density Matrices to Phase Transitions in Deep Learning: Spectral Early Warnings and Interpretability
- NeurIPS 2026From Inexact Gradients to Byzantine Robustness: Acceleration and Optimization under Similarity
- NeurIPS 2026From Isolated feature to Orbits:\\Discovering Music Concepts via Multi-SAE Alignment
- NeurIPS 2026From Solver Trajectories to Teaching Trajectories: Cognition-Aligned Reasoning Distillation
- NeurIPS 2026From Squeezing to Grounding: Visual Guided DPO for Multimodal Hallucination Mitigation
- NeurIPS 2026Gated DeltaNet-2: Decoupling Erase and Write in Linear Attention
- NeurIPS 2026GCD: Correcting Hidden-State Bias in Off-Policy Agentic RL
- NeurIPS 2026GEAR-Align: Grounding-Evidence-Aware Gradient Routing for Multimodal Alignment
- NeurIPS 2026GEM: Interpretable Language Models via Geometric Embedding Alignment
- NeurIPS 2026Generalized Adaptive Boosting and the Geometry of Mistakes
- NeurIPS 2026Geometric Alignment without Functional Equivalence: A Layer-wise Analysis of the Speech-Text Modality Gap
- NeurIPS 2026Geometry-Aware Directional Alignment for Coherent Model Merging
- NeurIPS 2026Geometry-Aware Optimal Transport: Fast Intrinsic Dimension and Wasserstein Distance Estimation
- NeurIPS 2026Ghosted Layers: Unconstrained Activation Alignment for Recovering Layer-Pruned LLMs
- NeurIPS 2026Gradient Descent on Two ReLU Neurons: Global Landscape and Bifurcation Dynamics
- NeurIPS 2026Gradient Descent’s Last Iterate is Often (slightly) Suboptimal
- NeurIPS 2026GradShield: Alignment Preserving Finetuning
- NeurIPS 2026GradTrack: Detecting Noisy Labels via Temporal Trajectories of Class-wise Gradient Misalignment
- NeurIPS 2026Graph Label Alignment: A Diagnostic Atlas for Graph Classification
- NeurIPS 2026Graph Learning Should Move Beyond Restrictive Views of Spectral and Message-Passing GNNs
- NeurIPS 2026Greedy Alignment Principle for Optimizer Selection
- NeurIPS 2026GT-HarmBench: Benchmarking AI Safety Risks Through the Lens of Game Theory
- NeurIPS 2026Guaranteed Jailbreaking Defense via Disrupt-and-Rectify Smoothing
- NeurIPS 2026Hallucination-Guided Unlearning: Using Hallucination Traces to Reveal Overfitted Memories
- NeurIPS 2026HARC: Coupling Harmfulness and Refusal Capabilities for Robust Safety Alignment
- NeurIPS 2026Harnessing Textual Refusal Directions for Multimodal Safety
- NeurIPS 2026HelpBench: Assessing the Ability of LLMs to Provide Privacy, Safety, and Security Advice
- NeurIPS 2026Hierarchical Cross-Class Part Alignment for Prototypical Part Networks via Hyperbolic Entailment
- NeurIPS 2026Hierarchical Graph Alignment for Cross-Modal 3D Scene Grounding
- NeurIPS 2026HoloGene: Learning to Lift Sliced Spatial Transcriptomics to Holistic 3D Gene Fields
- NeurIPS 2026Hyper Input Convex Neural Networks for Shape Constrained Learning and Optimal Transport
- NeurIPS 2026Hyperagents
- NeurIPS 2026Identification and Bounding of Joint Expectation over Potential Outcomes
- NeurIPS 2026Improved State Mixing in Higher-order and Block Diagonal Linear Recurrent Networks
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。