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 4,558 篇,第 10 / 92 页
- ICLR 2026Flattery, Fluff, and Fog: Diagnosing and Mitigating Idiosyncratic Biases in Preference Models
- ICLR 2026FlexHiNM-GP: Flexible Hierarchical Pruning via Region Allocation and Channel Permutation
- ICLR 2026FLoRG: Federated Fine-tuning with Low-rank Gram Matrices and Procrustes Alignment
- ICLR 2026FlowSearcher: Synthesizing Memory-Guided Agentic Workflows for Web Information Seeking
- ICLR 2026Fluent Alignment with Disfluent Judges: Post-training for lower-resource languages
- ICLR 2026Follow-Your-Preference: Towards Preference-Aligned Image Inpainting
- ICLR 2026Formalising Human-in-the-Loop: Computational Reductions, Failure Modes, and Legal-Moral Responsibility
- ICLR 2026From Evaluation to Defense: Advancing Safety in Video Large Language Models
- ICLR 2026From Natural Alignment to Conditional Controllability in Multimodal Dialogue
- ICLR 2026From Tokens to Thoughts: How LLMs and Humans Trade Compression for Meaning
- ICLR 2026From Utterance to Vividity: Training Expressive Subtitle Translation LLM via Adaptive Local Preference Optimization
- ICLR 2026FrontierCO: Real-World and Large-Scale Evaluation of Machine Learning Solvers for Combinatorial Optimization
- ICLR 2026FSPO: Few-Shot Optimization of Synthetic Preferences Effectively Personalizes to Real Users
- ICLR 2026Full-Graph vs. Mini-Batch Training: Comprehensive Analysis from a Batch Size and Fan-Out Size Perspective
- ICLR 2026GAPrune: Gradient-Alignment Pruning for Domain-Aware Embeddings
- ICLR 2026Gaussian certified unlearning in high dimensions: A hypothesis testing approach
- ICLR 2026GAVEL: Towards Rule-Based Safety through Activation Monitoring
- ICLR 2026Gelato: Graph Edit Distance via Autoregressive Neural Combinatorial Optimization
- ICLR 2026General Exploratory Bonus for Optimistic Exploration in RLHF
- ICLR 2026Generative Bayesian Optimization: Generative Models as Acquisition Functions
- ICLR 2026Generative Value Conflicts Reveal LLM Priorities
- ICLR 2026Ghost in the Cloud: Your Geo-Distributed Large Language Models Training is Easily Manipulated
- ICLR 2026GhostEI-Bench: Do Mobile Agent Resilience to Environmental Injection in Dynamic On-Device Environments?
- ICLR 2026GLASS Flows: Efficient Inference for Reward Alignment of Flow and Diffusion Models
- ICLR 2026GNN Explanations that do not Explain and How to find Them
- ICLR 2026Good allocations from bad estimates
- ICLR 2026GOT-Edit: Geometry-Aware Generic Object Tracking via Online Model Editing
- ICLR 2026GPTailor: Large Language Model Pruning Through Layer Cutting and Stitching
- ICLR 2026Gradient Intrinsic Dimensionality Alignment:Narrowing The Gap Between Low-Rank Adaptation and Full Fine-Tuning
- ICLR 2026GradPCA: Leveraging NTK Alignment for Reliable Out-of-Distribution Detection
- ICLR 2026GradShield: Alignment Preserving Finetuning
- ICLR 2026GraphShield: Graph-Theoretic Modeling of Network-Level Dynamics for Robust Jailbreak Detection
- ICLR 2026Grounding Generative Planners in Verifiable Logic: A Hybrid Architecture for Trustworthy Embodied AI
- ICLR 2026GuardAlign: Robust Safety Alignment in Multimodal Large Language Models
- ICLR 2026GuidedBench: Measuring and Mitigating the Evaluation Discrepancies of In-the-wild LLM Jailbreak Methods
- ICLR 2026HalluGuard: Demystifying Data-Driven and Reasoning-Driven Hallucinations in LLMs
- ICLR 2026Harnessing Hyperbolic Geometry for Harmful Prompt Detection and Sanitization
- ICLR 2026HiddenEcho: Mitigating Noise Amplification in Differentially Private LLMs with Hidden-State Correction
- ICLR 2026Hot PATE: Private Aggregation of Distributions for Diverse Tasks
- ICLR 2026How Catastrophic is Your LLM? Certifying Risk in Conversation
- ICLR 2026How Dark Patterns Manipulate Web Agents
- ICLR 2026How to Square Tensor Networks and Circuits Without Squaring Them
- ICLR 2026Hubble: a Model Suite to Advance the Study of LLM Memorization
- ICLR 2026Human-AI Curation Synergy: Scaling Preference Data Curation via Human-Guided AI Feedback
- ICLR 2026Human-LLM Collaborative Feature Engineering for Tabular Data
- ICLR 2026Humanline: Online Alignment as Perceptual Loss
- ICLR 2026IA2: Alignment with ICL Activations improves Supervised Fine-Tuning
- ICLR 2026ICPO: Provable and Practical In-Context Policy Optimization for Test-Time Scaling
- ICLR 2026Image Can Bring Your Memory Back: A Novel Multi-Modal Guided Attack against Image Generation Model Unlearning
- ICLR 2026Importance Sampling for Multi-Negative Multimodal Direct Preference Optimization
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。