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 875 篇,第 5 / 18 页
- ICLR 2024Learning From Simplicial Data Based on Random Walks and 1D Convolutions
- ICLR 2024Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models
- ICLR 2024Leveraging Generative Models for Unsupervised Alignment of Neural Time Series Data
- ICLR 2024Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds
- ICLR 2024LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset
- ICLR 2024Making RL with Preference-based Feedback Efficient via Randomization
- ICLR 2024MAP IT to Visualize Representations
- ICLR 2024Masks, Signs, And Learning Rate Rewinding
- ICLR 2024MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback
- ICLR 2024Motif: Intrinsic Motivation from Artificial Intelligence Feedback
- ICLR 2024Multilingual Jailbreak Challenges in Large Language Models
- ICLR 2024NEFTune: Noisy Embeddings Improve Instruction Finetuning
- ICLR 2024Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings
- ICLR 2024Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization
- ICLR 2024Neuron-Enhanced AutoEncoder Matrix Completion and Collaborative Filtering: Theory and Practice
- ICLR 2024On Bias-Variance Alignment in Deep Models
- ICLR 2024On the Fairness ROAD: Robust Optimization for Adversarial Debiasing
- ICLR 2024On the Generalization and Approximation Capacities of Neural Controlled Differential Equations
- ICLR 2024On the Over-Memorization During Natural, Robust and Catastrophic Overfitting
- ICLR 2024On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes
- ICLR 2024Optimal transport based adversarial patch to leverage large scale attack transferability
- ICLR 2024Overthinking the Truth: Understanding how Language Models Process False Demonstrations
- ICLR 2024PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback
- ICLR 2024Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models
- ICLR 2024Privately Aligning Language Models with Reinforcement Learning
- ICLR 2024Quantifying and Enhancing Multi-modal Robustness with Modality Preference
- ICLR 2024Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL
- ICLR 2024Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How
- ICLR 2024RAIN: Your Language Models Can Align Themselves without Finetuning
- ICLR 2024RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations
- ICLR 2024Respect the model: Fine-grained and Robust Explanation with Sharing Ratio Decomposition
- ICLR 2024Revisit and Outstrip Entity Alignment: A Perspective of Generative Models
- ICLR 2024Reward Model Ensembles Help Mitigate Overoptimization
- ICLR 2024Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models?
- ICLR 2024RLCD: Reinforcement Learning from Contrastive Distillation for LM Alignment
- ICLR 2024Robust Similarity Learning with Difference Alignment Regularization
- ICLR 2024Robustifying and Boosting Training-Free Neural Architecture Search
- ICLR 2024Safe and Robust Watermark Injection with a Single OoD Image
- ICLR 2024Safe RLHF: Safe Reinforcement Learning from Human Feedback
- ICLR 2024Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions
- ICLR 2024SALMON: Self-Alignment with Instructable Reward Models
- ICLR 2024Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement
- ICLR 2024SCHEMA: State CHangEs MAtter for Procedure Planning in Instructional Videos
- ICLR 2024Self-Alignment with Instruction Backtranslation
- ICLR 2024Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation
- ICLR 2024Self-supervised Pocket Pretraining via Protein Fragment-Surroundings Alignment
- ICLR 2024Set Learning for Accurate and Calibrated Models
- ICLR 2024SliceGPT: Compress Large Language Models by Deleting Rows and Columns
- ICLR 2024Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN
- ICLR 2024Statistical Rejection Sampling Improves 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。