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 1,363 篇,第 11 / 28 页
- ICLR 2025Robust System Identification: Finite-sample Guarantees and Connection to Regularization
- ICLR 2025Robustness Inspired Graph Backdoor Defense
- ICLR 2025Round and Round We Go! What makes Rotary Positional Encodings useful?
- ICLR 2025RouteLLM: Learning to Route LLMs from Preference Data
- ICLR 2025RRM: Robust Reward Model Training Mitigates Reward Hacking
- ICLR 2025SafeDiffuser: Safe Planning with Diffusion Probabilistic Models
- ICLR 2025Safety Alignment Should be Made More Than Just a Few Tokens Deep
- ICLR 2025Safety Layers in Aligned Large Language Models: The Key to LLM Security
- ICLR 2025SafeWatch: An Efficient Safety-Policy Following Video Guardrail Model with Transparent Explanations
- ICLR 2025Sail into the Headwind: Alignment via Robust Rewards and Dynamic Labels against Reward Hacking
- ICLR 2025SaLoRA: Safety-Alignment Preserved Low-Rank Adaptation
- ICLR 2025Scalable Extraction of Training Data from Aligned, Production Language Models
- ICLR 2025Scaling up the Banded Matrix Factorization Mechanism for Large Scale Differentially Private ML
- ICLR 2025SEAL: Safety-enhanced Aligned LLM Fine-tuning via Bilevel Data Selection
- ICLR 2025SEBRA : Debiasing through Self-Guided Bias Ranking
- ICLR 2025SecureGS: Boosting the Security and Fidelity of 3D Gaussian Splatting Steganography
- ICLR 2025Seeing Eye to AI: Human Alignment via Gaze-Based Response Rewards for Large Language Models
- ICLR 2025Selective Unlearning via Representation Erasure Using Domain Adversarial Training
- ICLR 2025Self-Boosting Large Language Models with Synthetic Preference Data
- ICLR 2025SELF-EVOLVED REWARD LEARNING FOR LLMS
- ICLR 2025Self-Improvement in Language Models: The Sharpening Mechanism
- ICLR 2025Self-Improving Robust Preference Optimization
- ICLR 2025Self-Play Preference Optimization for Language Model Alignment
- ICLR 2025Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models
- ICLR 2025Sensitivity Verification for Additive Decision Tree Ensembles
- ICLR 2025SeRA: Self-Reviewing and Alignment of LLMs using Implicit Reward Margins
- ICLR 2025Severing Spurious Correlations with Data Pruning
- ICLR 2025Shape as Line Segments: Accurate and Flexible Implicit Surface Representation
- ICLR 2025Shh, don't say that! Domain Certification in LLMs
- ICLR 2025SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters
- ICLR 2025Simple yet Effective Incomplete Multi-view Clustering: Similarity-level Imputation and Intra-view Hybrid-group Prototype Construction
- ICLR 2025SimulPL: Aligning Human Preferences in Simultaneous Machine Translation
- ICLR 2025SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal
- ICLR 2025Sparse components distinguish visual pathways & their alignment to neural networks
- ICLR 2025Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment
- ICLR 2025Spurious Forgetting in Continual Learning of Language Models
- ICLR 2025Stealthy Shield Defense: A Conditional Mutual Information-Based Approach against Black-Box Model Inversion Attacks
- ICLR 2025Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction
- ICLR 2025Strategic Classification With Externalities
- ICLR 2025Strong Preferences Affect the Robustness of Preference Models and Value Alignment
- ICLR 2025Style Outweighs Substance: Failure Modes of LLM Judges in Alignment Benchmarking
- ICLR 2025Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization
- ICLR 2025SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction
- ICLR 2025Support is All You Need for Certified VAE Training
- ICLR 2025Surgical, Cheap, and Flexible: Mitigating False Refusal in Language Models via Single Vector Ablation
- ICLR 2025Tailoring Mixup to Data for Calibration
- ICLR 2025Taming Overconfidence in LLMs: Reward Calibration in RLHF
- ICLR 2025Tamper-Resistant Safeguards for Open-Weight LLMs
- ICLR 2025TASAR: Transfer-based Attack on Skeletal Action Recognition
- ICLR 2025Test-time Adaptation for Regression by Subspace Alignment
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。