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 3 / 6 页
- ICML 2025Gradient Descent Converges Arbitrarily Fast for Logistic Regression via Large and Adaptive Stepsizes
- ICML 2025GRAIL: Graph Edit Distance and Node Alignment using LLM-Generated Code
- ICML 2025GRAM: A Generative Foundation Reward Model for Reward Generalization
- ICML 2025Hardware and Software Platform Inference
- ICML 2025Hierarchical Graph Tokenization for Molecule-Language Alignment
- ICML 2025How to set AdamW's weight decay as you scale model and dataset size
- ICML 2025HPS: Hard Preference Sampling for Human Preference Alignment
- ICML 2025Human-Aligned Image Models Improve Visual Decoding from the Brain
- ICML 2025ICLShield: Exploring and Mitigating In-Context Learning Backdoor Attacks
- ICML 2025Implicit Language Models are RNNs: Balancing Parallelization and Expressivity
- ICML 2025Improving LLM Safety Alignment with Dual-Objective Optimization
- ICML 2025Improving Model Alignment Through Collective Intelligence of Open-Source Models
- ICML 2025Improving Multimodal Learning Balance and Sufficiency through Data Remixing
- ICML 2025InfAlign: Inference-aware language model alignment
- ICML 2025Inference-Time Alignment of Diffusion Models with Direct Noise Optimization
- ICML 2025Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-Tuning
- ICML 2025Is Best-of-N the Best of Them? Coverage, Scaling, and Optimality in Inference-Time Alignment
- ICML 2025ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset
- ICML 2025Jacobian Sparse Autoencoders: Sparsify Computations, Not Just Activations
- ICML 2025Joint Metric Space Embedding by Unbalanced Optimal Transport with Gromov–Wasserstein Marginal Penalization
- ICML 2025Just Enough Shifts: Mitigating Over-Refusal in Aligned Language Models with Targeted Representation Fine-Tuning
- ICML 2025Kernel Quantile Embeddings and Associated Probability Metrics
- ICML 2025Knowledge Swapping via Learning and Unlearning
- ICML 2025Knowledge-Guided Wasserstein Distributionally Robust Optimization
- ICML 2025Language Models as Implicit Tree Search
- ICML 2025LapSum - One Method to Differentiate Them All: Ranking, Sorting and Top-k Selection
- ICML 2025Larger or Smaller Reward Margins to Select Preferences for LLM Alignment?
- ICML 2025Latent Preference Coding: Aligning Large Language Models via Discrete Latent Codes
- ICML 2025Layer-wise Alignment: Examining Safety Alignment Across Image Encoder Layers in Vision Language Models
- ICML 2025Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning
- ICML 2025Learning Cascade Ranking as One Network
- ICML 2025Learning from others' mistakes: Finetuning machine translation models with span-level error annotations
- ICML 2025Learning Safety Constraints for Large Language Models
- ICML 2025Learning Strategic Language Agents in the Werewolf Game with Iterative Latent Space Policy Optimization
- ICML 2025Learning the RoPEs: Better 2D and 3D Position Encodings with STRING
- ICML 2025Learnware Specification via Dual Alignment
- ICML 2025Leveraging Sparsity for Sample-Efficient Preference Learning: A Theoretical Perspective
- ICML 2025Linear Bandits with Partially Observable Features
- ICML 2025LIVS: A Pluralistic Alignment Dataset for Inclusive Public Spaces
- ICML 2025LLM Alignment as Retriever Optimization: An Information Retrieval Perspective
- ICML 2025LLM Data Selection and Utilization via Dynamic Bi-level Optimization
- ICML 2025Logarithmic Regret for Online KL-Regularized Reinforcement Learning
- ICML 2025LOGO --- Long cOntext aliGnment via efficient preference Optimization
- ICML 2025Long-Short Alignment for Effective Long-Context Modeling in LLMs
- ICML 2025LoRA-One: One-Step Full Gradient Could Suffice for Fine-Tuning Large Language Models, Provably and Efficiently
- ICML 2025M3-JEPA: Multimodal Alignment via Multi-gate MoE based on the Joint-Embedding Predictive Architecture
- ICML 2025Measuring Diversity: Axioms and Challenges
- ICML 2025Meta-Reinforcement Learning with Adaptation from Human Feedback via Preference-Order-Preserving Task Embedding
- ICML 2025MetaOptimize: A Framework for Optimizing Step Sizes and Other Meta-parameters
- ICML 2025Mind the Gap: a Spectral Analysis of Rank Collapse and Signal Propagation in Attention Layers
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。